JP2017181437A - Rotary machine system abnormality detection method, rotary machine system abnormality monitoring method using abnormality detection method, and rotary machine system abnormality monitoring device using abnormality monitoring method - Google Patents

Rotary machine system abnormality detection method, rotary machine system abnormality monitoring method using abnormality detection method, and rotary machine system abnormality monitoring device using abnormality monitoring method Download PDF

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JP2017181437A
JP2017181437A JP2016072684A JP2016072684A JP2017181437A JP 2017181437 A JP2017181437 A JP 2017181437A JP 2016072684 A JP2016072684 A JP 2016072684A JP 2016072684 A JP2016072684 A JP 2016072684A JP 2017181437 A JP2017181437 A JP 2017181437A
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信芳 劉
Xinfang Liu
信芳 劉
芳 馮
Fang Feng
芳 馮
孝博 中村
Takahiro Nakamura
孝博 中村
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Takada Corp
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Abstract

PROBLEM TO BE SOLVED: To provide a rotary machine system abnormality detection method based on the operation time current signal of a three-phase induction motor, an abnormality monitoring method using the abnormality detection method, and an abnormality monitoring device using the abnormality monitoring method.SOLUTION: This rotary machine system abnormality detection method carries out simple diagnosis that includes: a first step of executing high-speed Fourier transformation for the operation time current signal of a three-phase induction motor 12; a second step of calculating current spectrum peak values of one or both of side band waves by extracting, from acquired current spectrums, with a current spectrum peak of power supply frequency as the center, the side band waves of the current spectrum peaks of power supply frequencies present at frequency positions respectively separated to a low-frequency side and a high-frequency side by feature frequencies relating to the abnormality of a rotary machine system 11; a third step of calculating deterioration parameters of the rotary machine system 11 from the current spectrum peak value of the side band waves and the power supply frequencies; and a fourth step of detecting the abnormality of the rotary machine system 11 by recording the values of deterioration parameters and comparing them with a deterioration determination reference value.SELECTED DRAWING: Figure 5

Description

本発明は、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の状態から回転機械系の異常を検知する回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置に関する。 The present invention relates to a rotating machine system abnormality detection method for detecting an abnormality of a rotating machine system from the state of an operating current signal of a three-phase induction motor that is a driving source of the rotating machine system, and a rotating machine system using the abnormality detection method The present invention relates to an abnormality monitoring method and a rotating machine system abnormality monitoring apparatus using the abnormality monitoring method.

誘導電動機の電流信号特徴解析（ＭＣＳＡ：Ｍｏｔｏｒ Ｃｕｒｒｅｎｔ Ｓｉｇｎａｔｕｒｅ Ａｎａｌｙｓｉｓ）による回転機械系の異常診断方法として、例えば、特許文献１には、回転機械系の誘導電動機の稼働時電流信号を検出し、その波形から求まる振幅確率密度関数の情報量ＫＩをパラメータに用いて、回転機械系の異常検出を行うことが開示されている。しかし、一種類のパラメータだけで回転機械系の状態を代表することは難しく、回転機械系に発生した異常種類の識別及び異常箇所の特定を行う精密診断には使えないという問題がある。そこで、誘導電動機の電流信号特徴解析による回転機械系の精密診断は、誘導電動機の稼働時電流信号をＦＦＴ変換（高速フーリエ変換）して得られるスペクトルパターンの特徴を求める（スペクトルパターンを識別する）ことにより行われている。 As a method for diagnosing abnormalities in a rotating machine system by MCSA (Motor Current Signature Analysis), for example, Patent Document 1 discloses a current signal detected during operation of an induction motor of a rotating machine system and its waveform. It is disclosed that abnormality detection of a rotating machine system is performed using an information amount KI of an amplitude probability density function obtained from the above as a parameter. However, it is difficult to represent the state of the rotating machine system with only one type of parameter, and there is a problem that it cannot be used for precise diagnosis for identifying the type of abnormality occurring in the rotating machine system and specifying the abnormal part. Therefore, precise diagnosis of a rotating machine system by analyzing the current signal characteristics of the induction motor obtains the characteristics of the spectrum pattern obtained by FFT transform (fast Fourier transform) of the current signal during operation of the induction motor (identifies the spectrum pattern). Has been done.

特許第５７３３９１３号公報Japanese Patent No. 5733913

しかしながら、誘導電動機の稼働時電流信号のスペクトルパターンから誘導電動機の状態を診断するには、回転機械系に発生する異常に関するかなりの理論的知識と、回転機械系の現場経験が要求されるため、一つの回転機械系に対しても診断結果にばらつきが生じ易いという問題がある。
更に、誘導電動機の稼働時電流信号のスペクトルパターンから異常種類の識別が可能となっても、回転機械系に発生している異常の程度に応じた対応に関する情報（例えば、異常が発生した機器に対して、直ちに入替え（交換）又は補修が必要か、当面は経過観察だけで十分か等）は得られず、実用性に欠けるという問題もある。 However, in order to diagnose the state of the induction motor from the spectrum pattern of the current signal during operation of the induction motor, considerable theoretical knowledge about the abnormality that occurs in the rotating machine system and field experience of the rotating machine system are required. There is also a problem that the diagnostic results are likely to vary even for one rotating machine system.
Furthermore, even if it is possible to identify the type of abnormality from the spectrum pattern of the current signal during operation of the induction motor, information related to the response according to the degree of abnormality occurring in the rotating machine system (for example, the device in which the abnormality has occurred). On the other hand, it is not possible to immediately replace (replace) or repair or whether it is sufficient to just follow up for the time being, and there is a problem of lack of practicality.

本発明はかかる事情に鑑みてなされたもので、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の状態から回転機械系の異常を検知する回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置を提供することを目的とする。 The present invention has been made in view of such circumstances, and an abnormality detection method for a rotating machine system that detects an abnormality of the rotating machine system from the state of an operating current signal of a three-phase induction motor that is a drive source of the rotating machine system, An object of the present invention is to provide a rotating machine system abnormality monitoring method using an abnormality detection method, and a rotating machine system abnormality monitoring apparatus using the abnormality monitoring method.

前記目的に沿う第１の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波（図５参照）を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行う。 The abnormality detection method for a rotating machine system according to the first invention that meets the above-described object is the result of analyzing the current signal during operation of the three-phase induction motor as an abnormality occurring in the rotary machine system using the three-phase induction motor as a drive source. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a current spectrum peak sideband wave (see FIG. 5) of the power supply frequency present at a frequency position separated from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. A simple diagnosis having a process is performed.

前記目的に沿う第２の発明に係る回転機械系の異常監視方法は、第１の発明に係る回転機械系の異常検知方法のいずれか１又は２以上を組み合わせた回転機械系の異常監視方法であって、
複数の前記簡易診断を繰り返す劣化傾向管理工程と、
複数の前記簡易診断の少なくとも一つで異常を検知した際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断工程とを有する。 A rotating machine system abnormality monitoring method according to a second invention that meets the above-mentioned object is a rotating machine system abnormality monitoring method that is a combination of any one or more of the rotating machine system abnormality detection methods according to the first invention. There,
A deterioration tendency management step that repeats the plurality of simple diagnoses;
A precision abnormality diagnosis step of identifying an abnormality type and an abnormality location in the rotating machine system based on the deterioration parameter reaching the deterioration determination reference value when an abnormality is detected in at least one of the plurality of simple diagnoses; Have

前記目的に沿う第３の発明に係る回転機械系の異常診断装置は、第２の発明に係る回転機械系の異常監視方法に使用する回転機械系の異常監視装置であって、
前記三相誘導電動機の稼働時電流信号から前記劣化パラメータを求める劣化パラメータ算出部と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と前記劣化判定基準値を比較する簡易異常診断部と、
前記簡易異常診断部で前記回転機械系に異常が検知された際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断部とを有している。 A rotating machine system abnormality diagnosis device according to a third aspect of the invention that meets the above-described object is a rotating machine system abnormality monitoring device used in the rotating machine system abnormality monitoring method according to the second invention,
A deterioration parameter calculating unit for obtaining the deterioration parameter from an operating current signal of the three-phase induction motor;
While recording the value of the deterioration parameter, a simple abnormality diagnosis unit that compares the value of the deterioration parameter and the deterioration determination reference value,
Precise abnormality diagnosis that identifies the type of abnormality and the abnormality location in the rotating machine system based on the deterioration parameter that has reached the deterioration determination reference value when an abnormality is detected in the rotating machine system by the simple abnormality diagnosis unit Part.

本発明に係る第１の発明に係る回転機械系の異常検知方法、第２の発明に係る回転機械系の異常監視方法、及び第３の発明に係る回転機械系の異常診断装置においては、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の高速フーリエ変換から得られる電流スペクトルの中から、回転機械系の異常に関連する特徴周波数の側帯波を抽出して回転機械系の劣化パラメータの値を算出し、劣化判定基準値とを比較することにより異常を検知するので、回転機械系に発生する異常に関する理論的知識の有無、及び回転機械系の保全経験の有無に左右されずに、回転機械系の異常箇所（異常が発生した機器）を正確に特定することができる。
そして、回転機械系の異常の状態が劣化パラメータの値として示されるので、回転機械系（機器）に発生している異常の程度に応じた対応（例えば、異常が発生した機器に対して、直ちに入替え（交換）又は補修が必要か、当面は経過観察だけで十分か等）を執ることが可能になる。 In the rotating machine system abnormality detection method according to the first invention according to the present invention, the rotating machine system abnormality monitoring method according to the second invention, and the rotating machine system abnormality diagnosis device according to the third invention, From the current spectrum obtained from the fast Fourier transform of the operating current signal of the three-phase induction motor that is the drive source of the mechanical system, the sideband of the characteristic frequency related to the abnormality of the rotating mechanical system is extracted to Since the abnormality is detected by calculating the value of the deterioration parameter and comparing it with the reference value for deterioration, it depends on the existence of theoretical knowledge about the abnormality that occurs in the rotating machine system and the maintenance experience of the rotating machine system. Therefore, it is possible to accurately identify an abnormal portion (device in which an abnormality has occurred) in the rotating machine system.
Then, since the state of abnormality of the rotating machine system is indicated as the value of the deterioration parameter, a response corresponding to the degree of abnormality occurring in the rotating machine system (device) (for example, immediately against the device in which the abnormality has occurred) Whether replacement (replacement) or repair is necessary, whether or not follow-up is sufficient for the time being, etc.).

本発明の一実施の形態に係る回転機械系の異常監視装置のブロック図である。1 is a block diagram of an abnormality monitoring device for a rotating machine system according to an embodiment of the present invention. ３相電流バランスＩｕｂの劣化傾向管理データと推定した期待使用寿命の説明図である。It is explanatory drawing of the estimated service life estimated with the deterioration tendency management data of three-phase current balance Iub . 軸系電流比率Ｌｓｈａｆｔの劣化傾向管理データと推定した期待使用寿命の説明図である。It is explanatory drawing of the estimated service life estimated with the deterioration tendency management data of the shaft system current ratio Lshaft . 本発明の一実施の形態に係る回転機械系の異常検知方法及び異常監視方法の流れ図である。It is a flowchart of the abnormality detection method and abnormality monitoring method of the rotating machine system which concern on one embodiment of this invention. 電源周波数の電流スペクトルピークの側帯波の説明図である。It is explanatory drawing of the sideband of the current spectrum peak of a power supply frequency.

続いて、添付した図面を参照しつつ、本発明を具体化した実施の形態につき説明し、本発明の理解に供する。
図１に示すように、本発明の一実施の形態に係る回転機械系の異常監視装置１０は、回転機械系１１の駆動源である三相誘導電動機１２の稼働時電流信号の解析結果から、回転機械系１１の総合的な状態や、回転機械系１１の機械的構造に起因して発生する個別的な状態をそれぞれ定量的に評価する劣化パラメータを求める劣化パラメータ算出部１３と、劣化パラメータの値を記録すると共に、求めた劣化パラメータの値と劣化判定基準値を比較する簡易異常診断部１４と、簡易異常診断部１４で回転機械系１１に異常が検知された際に、劣化判定基準値に達した劣化パラメータに基づいて異常の種類と回転機械系１１における異常箇所を特定する精密異常診断部１５とを有している。以下、詳細に説明する。 Next, embodiments of the present invention will be described with reference to the accompanying drawings for understanding of the present invention.
As shown in FIG. 1, the abnormality monitoring apparatus 10 for a rotating machine system according to an embodiment of the present invention is based on the analysis result of the current signal during operation of the three-phase induction motor 12 that is a drive source of the rotating machine system 11. A deterioration parameter calculation unit 13 for obtaining deterioration parameters for quantitatively evaluating the overall state of the rotating machine system 11 and the individual states generated due to the mechanical structure of the rotating machine system 11; The simple abnormality diagnosis unit 14 that records the value and compares the obtained deterioration parameter value with the deterioration determination reference value, and when the abnormality is detected in the rotating machine system 11 by the simple abnormality diagnosis unit 14, the deterioration determination reference value And a precise abnormality diagnosis unit 15 that identifies the type of abnormality and the abnormal part in the rotating machine system 11 based on the deterioration parameter that has reached Details will be described below.

劣化パラメータ算出部１３は、回転機械系１１の電気室（制御盤）から三相誘導電動機１２に電力を供給する三相毎の電源ケーブ１２ａに流れる稼働時電流信号を検出する電流検出器１６（例えば、クランプ式電流センサー）と、電流検出器１６で測定した稼働時電流信号をデジタル信号に変換するＡ／Ｄ変換器１７と、Ａ／Ｄ変換器１７から出力された稼働時電流信号を処理する処理ユニット１８とを有している。 The deterioration parameter calculation unit 13 is a current detector 16 (detecting an operating current signal flowing through the power cable 12a for each of the three phases that supplies power to the three-phase induction motor 12 from the electric room (control panel) of the rotating machine system 11. For example, a clamp-type current sensor), an A / D converter 17 that converts an operating current signal measured by the current detector 16 into a digital signal, and an operating current signal output from the A / D converter 17 is processed. Processing unit 18.

そして、処理ユニット１８には、回転機械系１１の状態を総合的に評価する劣化パラメータである電流情報量ＫＩを算出する電流情報量算出手段１９と、回転機械系１１の負荷変動状況を評価する劣化パラメータである電流実効値Ｉｒｍｓを算出する電流実効値算出手段２０と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の３相電流バランスＩｕｂを算出する３相電流バランス算出手段２１と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の電流単調波比率ｉｄｉｓを算出する電流単調波比率算出手段２２と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の電流全調波比率Ｉｄｉｓを算出する電流全調波比率算出手段２３が設けられている。ここで、処理ユニット１８には、更に、Ａ／Ｄ変換器１７から出力された稼働時電流信号を高速フーリエ変換（周波数解析の一例）する高速フーリエ変換器２４が設けられており、電流単調波比率算出手段２２と電流全調波比率算出手段２３には、高速フーリエ変換器２４から出力されるスペクトルデータ（周波数と対数変換した電流スペクトルの関係を示すデータ）が入力される。
なお、電流情報量ＫＩ、電流実効値Ｉｒｍｓ、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓの各劣化パラメータ（これらの劣化パラメータを総称して第１種劣化パラメータという）の値は、回転機械系１１の劣化の進行に伴って上昇する特徴を有する。 The processing unit 18 evaluates the current information amount calculation means 19 for calculating the current information amount KI, which is a deterioration parameter for comprehensively evaluating the state of the rotating machine system 11, and the load fluctuation state of the rotating machine system 11. Current effective value calculation means 20 for calculating current effective value I rms which is a deterioration parameter, and three phases of operating current signal which is a deterioration parameter for evaluating the power supply quality or the deterioration status of the stator and inverter of three-phase induction motor 12 Three-phase current balance calculating means 21 for calculating the current balance I ub , and a current monotone ratio i dis of the operating current signal which is a deterioration parameter for evaluating the power supply quality or the deterioration state of the stator and inverter of the three-phase induction motor 12 Current monoharmonic ratio calculating means 22 for calculating the power supply quality or the deterioration of the stator and inverter of the three-phase induction motor 12 Current total harmonic ratio calculating means 23 which calculates the current total harmonic ratio I dis operating at current signals is parameter. Here, the processing unit 18 is further provided with a fast Fourier transformer 24 for performing a fast Fourier transform (an example of frequency analysis) on the operating current signal output from the A / D converter 17, and a current monotone wave. Spectrum data (data indicating the relationship between frequency and logarithmically converted current spectrum) output from the fast Fourier transformer 24 is input to the ratio calculating means 22 and the current total harmonic ratio calculating means 23.
It should be noted that each deterioration parameter of current information amount KI, current effective value I rms , three-phase current balance I ub , current monoharmonic ratio i dis , and current total harmonic ratio I dis (these deterioration parameters are collectively referred to as first parameter). The value of the seed deterioration parameter is characterized by increasing as the rotation of the rotating machine 11 progresses.

ここで、電流情報量算出手段１９では、電流情報量ＫＩを、正常状態の稼働時電流信号の波形から求めた振幅確率密度分布を参照分布、監視状態の稼働時電流信号の振幅確率密度分布をテスト分布と定義した場合、振幅ｘの電流信号の参照分布とテスト分布をそれぞれｆｒ（ｘ）、ｆｔ（ｘ）として、ｆｒ（ｘ）ｌｏｇ［ｆｒ（ｘ）／ｆｔ（ｘ）］からなる評価式を、ｘに関して−∞から∞の範囲で積分することにより求めている。なお、正常状態の稼働時電流信号には、三相誘導電動機１２の定格電流の正弦波信号波形を用いることができる。
電流実効値算出手段２０では、電流実効値Ｉｒｍｓを、ｉを稼働時電流信号のサンプリング値、Ｎをサンプリングポイント数として、｛（ｉ１ ２＋ｉ２ ２＋・・・＋ｉＮ ２）／Ｎ｝１／２から求めている。 Here, the current information amount calculation means 19 uses the amplitude probability density distribution obtained from the waveform of the operating current signal in the normal state as the reference distribution and the amplitude probability density distribution of the operating current signal in the monitored state as the current information amount KI. When the test distribution is defined, let f r (x) and f t (x) be the reference distribution and the test distribution of the current signal of amplitude x, respectively, f r (x) log [f r (x) / f t (x )] Is obtained by integrating x with respect to x in the range of -∞ to ∞. Note that a sine wave signal waveform of the rated current of the three-phase induction motor 12 can be used as the operating current signal in the normal state.
In the current effective value calculation means 20, {(i 1 2 + i 2 2 +... + I N 2 ) / N, where i is the current effective value I rms , i is the sampling value of the current signal during operation, and N is the number of sampling points. } Calculated from 1/2 .

また、稼働時電流を３相同時に計測した場合の３相電流バランス算出手段２１では、３相電流バランスＩｕｂを、稼働時電流信号の３相の電流実効値Ｉｕ、Ｉｖ、Ｉｗの中の最大値と最小値の差ｍａｘ（Ｉｕ，Ｉｖ，Ｉｗ）−ｍｉｎ（Ｉｕ，Ｉｖ，Ｉｗ）を、最大値と最小値の和ｍａｘ（Ｉｕ，Ｉｖ，Ｉｗ）＋ｍｉｎ（Ｉｕ，Ｉｖ，Ｉｗ）で除して求めている。
電流単調波比率算出手段２２では、電流単調波比率ｉｄｉｓを、稼働時電流信号の高調波実効値の中で、予め設定した次数ｎ内にある最大値ｍａｘｉｎを，稼働時電流信号の電源周波数実効値Ｉ１で除して求めている。
電流全調波比率算出手段２３では、電流全調波比率Ｉｄｉｓを、稼働時電流信号の予め設定した次数ｎまでの各高調波実効値の二乗和の平方根（Ｉ２ ２＋Ｉ３ ２＋・・・＋Ｉｎ ２）１／２を、働時電流信号の電源周波数実効値Ｉ１で除して求めている。 Further, in the three-phase current balance calculation means 21 when the operating current is measured simultaneously for the three phases, the three-phase current balance I ub is calculated from the three-phase effective current values I u , I v , and I w of the operating current signal. The difference between the maximum value and the minimum value max (I u , I v , I w ) −min (I u , I v , I w ) is calculated as the sum max (I u , I v , I w ). It is obtained by dividing by w ) + min (I u , I v , I w ).
In current monotonic wave ratio calculation unit 22, a current monotonic wave ratio i dis, in harmonic effective value of operating time of the current signal, the maximum value maxi n in preset the order n, the operating time of the current signal power It is calculated by dividing the frequency effective value I 1.
In the current total harmonic ratio calculating means 23, the current total harmonic ratio I dis is calculated from the square root (I 2 2 + I 3 2 + ··) of the square sum of each harmonic effective value up to the preset order n of the current signal during operation. ... + I n 2 ) 1/2 is divided by the power supply frequency effective value I 1 of the working current signal.

また、処理ユニット１８には、高速フーリエ変換器２４から得られた電流スペクトルを対数変換して形成したスペクトルデータ（周波数と対数変換した電流スペクトルの関係を示すデータ）を用いて回転機械系１１の回転機械軸系の負荷状況を評価する劣化パラメータである軸系電流比率Ｌｓｈａｆｔを算出する軸系電流比率算出手段２５と、三相誘導電動機１２の回転子の劣化状況を評価するポール通過電流比率Ｌｐｏｌｅを算出するポール通過電流比率算出手段２６と、三相誘導電動機１２の負荷トルクと回転子の実回転数の変化を推測する劣化パラメータである回転子すべり電流比率Ｌｒｓを算出する回転子すべり電流比率算出手段２７と、三相誘導電動機１２により駆動される回転機械系１１が流体回転機械の場合、流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生状況を推測する劣化パラメータであるブレード通過電流比率Ｌｂｐを算出するブレード通過電流比率算出手段２８とを有している。 Further, the processing unit 18 uses the spectrum data (data indicating the relationship between the frequency and the logarithmically converted current spectrum) formed by logarithmically converting the current spectrum obtained from the fast Fourier transformer 24. A shaft system current ratio calculating means 25 for calculating a shaft system current ratio L shift which is a deterioration parameter for evaluating the load condition of the rotating machine shaft system, and a pole passing current ratio for evaluating the deterioration condition of the rotor of the three-phase induction motor 12 A pole passing current ratio calculating means 26 for calculating L pole , and a rotor for calculating a rotor slip current ratio L rs which is a deterioration parameter for estimating changes in the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor. When the rotary machine system 11 driven by the slip current ratio calculating means 27 and the three-phase induction motor 12 is a fluid rotary machine, the fluid rotary machine And a blade passing current ratio calculation means 28 for calculating a blade passing current ratio L bp is a deterioration parameter to estimate the occurrence of provided with blades and casing wear and corrosion.

更に、処理ユニット１８には、三相誘導電動機１２により駆動される回転機械系１１が歯車装置の場合（三相誘導電動機１２の回転子の回転軸に取付けられた歯車の一例）、歯車の摩耗、潤滑不良、折損等の異常を推測する劣化パラメータである噛合い電流比率Ｌｇｚを算出する噛合い電流比率算出手段２９と、歯車の摩耗、潤滑不良、折損等の異常を推測する劣化パラメータであるギアポール電流比率Ｌｇｐを算出するギアポール電流比率算出手段２９ａと、三相誘導電動機１２により駆動される回転機械系１１がプーリーベルト駆動系の場合（三相誘導電動機１２の回転子の回転軸に取付けられたプーリーの一例）、プーリーのミスアラインメントとベルトの張り具合の異常を推測する劣化パラメータであるベルト回転電流比率Ｌｂｒを算出するベルト回転電流比率算出手段３０が設けられている。
なお、軸系電流比率Ｌｓｈａｆｔ、ポール通過電流比率Ｌｐｏｌｅ、回転子すべり電流比率Ｌｒｓ、ブレード通過電流比率Ｌｂｐ、噛合い電流比率Ｌｇｚ、ギアポール電流比率Ｌｇｐ、及びベルト回転電流比率Ｌｂｒの各劣化パラメータ（これらの劣化パラメータを総称して第２種劣化パラメータという）の値は、回転機械系１１の劣化の進行に伴って低下する特徴を有する。 Further, in the processing unit 18, when the rotating machine system 11 driven by the three-phase induction motor 12 is a gear device (an example of a gear attached to the rotating shaft of the rotor of the three-phase induction motor 12), the gear wears. A meshing current ratio calculating means 29 for calculating a meshing current ratio L gz which is a deterioration parameter for estimating abnormalities such as poor lubrication and breakage, and a deterioration parameter for estimating abnormalities such as gear wear, poor lubrication and breakage. When the gear pole current ratio calculating means 29a for calculating a certain gear pole current ratio L gp and the rotating machine system 11 driven by the three-phase induction motor 12 are pulley belt drive systems (on the rotating shaft of the rotor of the three-phase induction motor 12) an example of a mounted pulley), a belt rotating current ratio L br a deterioration parameter to estimate the abnormality of tension of misalignment and belt pulleys Belt rotating current ratio calculation means 30 for calculating is provided.
In addition, the shaft system current ratio L shift , the pole passing current ratio L pole , the rotor sliding current ratio L rs , the blade passing current ratio L bp , the meshing current ratio L gz , the gear pole current ratio L gp , and the belt rotation current ratio L The value of each deterioration parameter of br (these deterioration parameters are collectively referred to as a second-type deterioration parameter) has a characteristic of decreasing as the deterioration of the rotating machine system 11 progresses.

ここで、軸系電流比率算出手段２５では、軸系電流比率Ｌｓｈａｆｔを、スペクトルデータから、電源周波数の電流スペクトルピーク（電源基本周波数の電流スペクトルピーク又は電源高調波周波数の電流スペクトルピーク）の側帯波であって、三相誘導電動機１２の実回転周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、実回転周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク高さ２０ｌｏｇＩｓｈａｆｔと、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｓｈａｆｔ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｓｈａｆｔ）として評価している。ここで、Ｉｓｈａｆｔ及びＩｌｉｎｅは、それぞれ高速フーリエ変換器２４から出力される実回転周波数に起因する側帯波及び電源周波数の電流スペクトルのピーク値である。 Here, in the shaft system current ratio calculation means 25, the shaft system current ratio Lshaft is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency (current spectrum peak of the power supply fundamental frequency or current spectrum peak of the power supply harmonic frequency). Sidebands caused by the actual rotational frequency of the three-phase induction motor 12, that is, frequency positions separated from the low frequency side and the high frequency side by the actual rotational frequency around the current spectrum peak of the power supply frequency. one of the peak values of the sidebands present in, for example, determined the maximum peak height 20LogI, shaft, the peak height 20LogI line current spectral peak of the power frequency, 20logI line -20logI shaft, i.e., 20 log (I line / I shaft) has been evaluated as a . Here, Ishaft and Iline are the peak values of the current spectrum of the sideband and power supply frequency resulting from the actual rotational frequency output from the fast Fourier transformer 24, respectively.

ポール通過電流比率算出手段２６では、ポール通過電流比率Ｌｐｏｌｅを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のポール通過周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ポール通過周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｐｏｌｅ（Ｉｐｏｌｅは、高速フーリエ変換器２４から出力されるポール通過周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｐｏｌｅ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｐｏｌｅ）として評価している。 In the pole passing current ratio calculating means 26, the pole passing current ratio L pole is obtained from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the pole passing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated by the pole passing frequency on the low frequency side and on the high frequency side, for example, the maximum peak value 20 logI pole ( I pole is the peak value of the current spectrum of the sideband wave caused by the pole passing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI pole. That is, 20 log (I line / I pole ).

回転子すべり電流比率算出手段２７では、回転子すべり電流比率Ｌｒｓを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２の回転子バーすべり周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、回転子バーすべり周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｒｓ（Ｉｒｓｏｌｅは、高速フーリエ変換器２４から出力される回転子バーすべり周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｒｓ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｒｓ）として評価している。 In the rotor slip current ratio calculation means 27, the rotor slip current ratio L rs is a sideband of the current spectrum peak of the power supply frequency from the spectrum data and is caused by the rotor bar slip frequency of the three-phase induction motor 12. Sideband, that is, the peak value of any one of the sidebands present at frequency positions separated from the low frequency side and the high frequency side by the rotor bar slip frequency around the current spectrum peak of the power supply frequency, for example, Maximum peak value 20logI rs (I rsol is the peak value of the current spectrum of the sideband due to the rotor bar slip frequency output from the fast Fourier transformer 24), and the peak height 20logI line of the current spectrum peak at the power supply frequency. look, 20logI line -20logI rs, ie, 20log Is evaluated as I line / I rs).

ブレード通過電流比率算出手段２８では、ブレード通過電流比率Ｌｂｐを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のブレード通過周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ブレード通過周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｂｐ（Ｉｂｐは、高速フーリエ変換器２４から出力されるブレード通過周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｂｐ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｐ）として評価している。 In the blade passing current ratio calculating means 28, the blade passing current ratio L bp is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the blade passing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the blade passing frequency, for example, the maximum peak value 20 log I bp ( I bp is the peak value of the current spectrum of the sideband wave caused by the blade passing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI bp , ie, 20log (I line / I has been evaluated as a p).

噛合い電流比率算出手段２９では、噛合い電流比率Ｌｇｚを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２の噛合い周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、噛合い周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｇｚ（Ｉｇｚは、高速フーリエ変換器２４から出力される噛合い周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｇｚ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｚ）として評価している。
また、ギアポール電流比率算出手段２９ａでは、ギアポール電流比率Ｌｇｐを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のギアポール周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、三相誘導電動機１２のポール通過周波数と、三相誘導電動機１２の回転子の回転軸に取付けられた歯車の歯数との積として定義されるギアポール周波数ｆｇｐ分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｇｐ（Ｉｇｐは、高速フーリエ変換器２４から出力されるギアポール周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｇｐ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｐ）として評価している。 In the meshing current ratio calculation means 29, the meshing current ratio L gz is determined from the spectrum data as a sideband of the current spectrum peak of the power supply frequency, which is a sideband caused by the meshing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the meshing frequency, for example, the maximum peak value 20 logI gz ( I gz is the peak value of the current spectrum peak of the sideband due to the meshing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI gz That is, it is evaluated as 20 log (I line / I gz ).
Further, in the gear pole current ratio calculating means 29a, the gear pole current ratio L gp is obtained from the spectrum data as a side band of the current spectrum peak of the power supply frequency, and the side band caused by the gear pole frequency of the three-phase induction motor 12, that is, A gear pole frequency f defined as the product of the pole passing frequency of the three-phase induction motor 12 and the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor 12 around the current spectrum peak of the power supply frequency. gp amount corresponding one of the peak values of the sidebands present in the frequency position away respectively to the low frequency side and high frequency side, for example, the maximum peak value 20logI gp (I gp is output from the fast Fourier transformer 24 Sideband current spectrum peak value due to gear pole frequency) and current spectrum of power frequency The peak heights 20LogI line peak, 20logI line -20logI gp, i.e., is evaluated as 20log (I line / I gp) .

ベルト回転電流比率算出手段３０では、ベルト回転電流比率Ｌｂｒを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のベルト回転周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ベルト回転周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｂｒ（Ｉｂｒは、高速フーリエ変換器２４から出力されるベルト回転周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｂｒ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｒ）として評価している。 In the belt rotation current ratio calculation means 30, the belt rotation current ratio L br is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the belt rotation frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the belt rotation frequency, for example, the maximum peak value 20 logI br ( I br obtains a fast Fourier transformer peak current spectrum sidebands due to belt rotation frequency output from 24), the peak height 20LogI line current spectral peak of the power frequency, 20logI line -20logI br That is, 20 log (I line / I br ) It is evaluated.

なお、処理ユニット１８には、電流情報量算出手段１９、電流実効値算出手段２０、３相電流バランス算出手段２１、電流単調波比率算出手段２２、電流全調波比率算出手段２３、高速フーリエ変換器２４、軸系電流比率算出手段２５、ポール通過電流比率算出手段２６、回転子すべり電流比率算出手段２７、ブレード通過電流比率算出手段２８、噛合い電流比率算出手段２９、ギアポール電流比率算出手段２９ａ、ベルト回転電流比率算出手段３０の中から、回転機械系１１の機械的構造に応じて選択された劣化パラメータの算出に必要な算出手段を稼働状態に設定する劣化パラメータ選定手段３１が設けられている。 The processing unit 18 includes a current information amount calculation unit 19, a current effective value calculation unit 20, a three-phase current balance calculation unit 21, a current monoharmonic ratio calculation unit 22, a current total harmonic ratio calculation unit 23, and a fast Fourier transform. 24, shaft system current ratio calculating means 25, pole passing current ratio calculating means 26, rotor slip current ratio calculating means 27, blade passing current ratio calculating means 28, meshing current ratio calculating means 29, gear pole current ratio calculating means 29a A deterioration parameter selection means 31 is provided for setting the calculation means necessary for calculating the deterioration parameter selected from the belt rotation current ratio calculation means 30 according to the mechanical structure of the rotating machine system 11 to the operating state. Yes.

簡易異常診断部１４は、劣化パラメータの値から回転機械系１１の異常を検知（異常が発生したか否かを判定）する際に使用する劣化判定基準値を保存しているデータベース３２と、劣化パラメータ算出部１３から取得した劣化パラメータの値と劣化パラメータに対応する劣化判定基準値をデータベース３２から取得して比較して回転機械系１１の状態を診断する簡易診断手段３３とを有している。
ここで、劣化判定基準値は、例えば、回転機械系１１を想定したモデル回転機械系を用いた破壊試験や、従来の保守管理実績に基づいて設定する。なお、簡易診断手段３３では、第１種劣化パラメータに対しては、第１種劣化パラメータの値が設定した劣化判定基準値以上となる場合、異常が発生したと判定する。一方、第２種劣化パラメータに対しては、第２種劣化パラメータの値が設定した劣化判定基準値以下となる場合、異常が発生したと判定する。 The simple abnormality diagnosis unit 14 includes a database 32 storing a deterioration determination reference value used when detecting an abnormality (determining whether or not an abnormality has occurred) in the rotating machine system 11 from the value of the deterioration parameter, and deterioration. Simple diagnosis means 33 for diagnosing the state of the rotating machine system 11 by acquiring from the database 32 and comparing the deterioration parameter value acquired from the parameter calculation unit 13 with the deterioration determination reference value corresponding to the deterioration parameter. .
Here, the deterioration determination reference value is set based on, for example, a destructive test using a model rotating machine system assuming the rotating machine system 11 or a conventional maintenance management record. The simple diagnosis means 33 determines that an abnormality has occurred when the value of the first type deterioration parameter is equal to or greater than the set deterioration determination reference value for the first type deterioration parameter. On the other hand, for the second type deterioration parameter, when the value of the second type deterioration parameter is equal to or less than the set deterioration determination reference value, it is determined that an abnormality has occurred.

更に、簡易異常診断部１４は、劣化パラメータ算出部１３から取得した劣化パラメータの値を時系列的に保存する劣化傾向管理手段３４と、劣化傾向管理手段３４に保存された劣化パラメータの値（劣化傾向管理データ）の経時変化挙動を示す近似関数を求め、劣化パラメータの値が劣化判定基準値に一致するまでの時間（期待使用寿命）を推定して表示する余寿命予測手段３５とを有している。なお、余寿命予測手段３５では、劣化パラメータ毎に、劣化判定基準値として危険判定基準値と注意判定基準値を設定している。劣化パラメータの値が、注意判定基準値に達すると当該パラメータに関する異常が発生していると判断し、危険判定基準値に達すると当該パラメータに関する異常により回転機械系１２が停止又は破損の危険があると判断する。劣化パラメータの値が注意判定基準値に対して予め設定した注意範囲に到達した際に、注意範囲内の劣化パラメータの値の経時変化から近似関数を求めている。図２に３相電流バランスＩｕｂの劣化傾向管理データと推定した期待使用寿命を、図３に軸系電流比率Ｌｓｈａｆｔの劣化傾向管理データと推定した期待使用寿命を示す。 Furthermore, the simple abnormality diagnosis unit 14 stores the deterioration parameter values acquired from the deterioration parameter calculation unit 13 in time series, and the deterioration parameter values stored in the deterioration tendency management unit 34 (deterioration). And a remaining life prediction means 35 that obtains an approximate function indicating a time-dependent change behavior of (trend management data) and estimates and displays the time (expected service life) until the value of the deterioration parameter matches the deterioration determination reference value. ing. The remaining life predicting means 35 sets a risk determination reference value and a caution determination reference value as the deterioration determination reference value for each deterioration parameter. When the value of the degradation parameter reaches the caution determination reference value, it is determined that an abnormality relating to the parameter has occurred. When the deterioration parameter value reaches the danger determination reference value, the rotating machine system 12 may be stopped or damaged due to the abnormality relating to the parameter. Judge. When the value of the degradation parameter reaches the caution range set in advance with respect to the caution determination reference value, an approximate function is obtained from the change over time of the value of the degradation parameter within the caution range. FIG. 2 shows the estimated service life estimated as the deterioration tendency management data of the three-phase current balance Iub , and FIG. 3 shows the estimated service life estimated as the deterioration tendency management data of the shaft system current ratio Lshaft .

ここで、注意判定基準値は、例えば、回転機械系１１を想定したモデル回転機械系を用いた破壊試験や、従来の保守管理実績に基づいて設定され、第１種劣化パラメータの注意判定基準値は危険判定基準値より小さく、第２種劣化パラメータ注意判定基準値は危険判定基準値より大きくそれぞれ設定される。これによって、劣化パラメータの値が注意判定基準値に達していない場合は回転機械系１１の状態が正常であると、劣化パラメータの値が注意判定基準値と危険判定基準値の間に入る場合は回転機械系１１の状態が要注意であると、劣化パラメータの値が危険判定基準値に達した（第１種劣化パラメータでは値が危険判定基準値以上となる、第２種劣化パラメータでは値が危険判定基準値以下となる）場合は回転機械系１１の状態が危険であるとそれぞれ判定できる。 Here, the caution determination reference value is set based on, for example, a destructive test using a model rotating machine system assuming the rotating machine system 11 or a conventional maintenance management result, and the caution determination reference value of the first type deterioration parameter Is smaller than the danger judgment reference value, and the second type degradation parameter caution judgment reference value is set larger than the danger judgment reference value. Thereby, when the value of the deterioration parameter does not reach the caution determination reference value, if the state of the rotating machine system 11 is normal, the deterioration parameter value falls between the caution determination reference value and the danger determination reference value. If the state of the rotating machine system 11 is cautionary, the value of the deterioration parameter has reached the risk judgment reference value (the value is higher than the risk judgment reference value for the first type deterioration parameter, the value for the second type deterioration parameter is In the case of a risk determination reference value or less), it can be determined that the state of the rotating machine system 11 is dangerous.

精密異常診断部１５は、簡易異常診断部１４において、電流実効値Ｉｒｍｓ、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓ、軸系電流比率Ｌｓｈａｆｔ、ポール通過電流比率Ｌｐｏｌｅ、回転子すべり電流比率Ｌｒｓ、ブレード通過電流比率Ｌｂｐ、噛合い電流比率Ｌｇｚ、ギアポール電流比率Ｌｇｐ、及びベルト回転電流比率Ｌｂｒの値の中で少なくとも１つが劣化判定基準値に達した際に、劣化判定基準値に達した劣化パラメータに基づいて異常の種類と回転機械系１１における異常箇所を特定する。例えば、劣化判定基準値に達した劣化パラメータが電流実効値Ｉｒｍｓの場合は回転機械系１１に負荷変動が生じたと判定し、劣化判定基準値に達した劣化パラメータが３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、又は電流全調波比率Ｉｄｉｓの場合は回転機械系１１に供給される電源品質又は三相誘導電動機１２の固定子に劣化が生じたと判定する。 Precision abnormality diagnosing section 15, in the simple diagnosis unit 14, the current effective value I rms, 3-phase current balance I ub, current monotonic wave ratio i dis, and current total harmonic ratio I dis, shafting current ratio L, shaft, At least one of the values of the pole passing current ratio L pole , the rotor slip current ratio L rs , the blade passing current ratio L bp , the meshing current ratio L gz , the gear pole current ratio L gp, and the belt rotation current ratio L br is When the deterioration determination reference value is reached, the type of abnormality and the abnormal part in the rotating machine system 11 are specified based on the deterioration parameter that has reached the deterioration determination reference value. For example, when the deterioration parameter that has reached the deterioration determination reference value is the current effective value I rms , it is determined that a load fluctuation has occurred in the rotating machine system 11, and the deterioration parameter that has reached the deterioration determination reference value is the three-phase current balance I ub , In the case of the current monoharmonic ratio i dis or the current total harmonic ratio I dis , it is determined that the quality of the power supplied to the rotating machine system 11 or the stator of the three-phase induction motor 12 has deteriorated.

また、劣化判定基準値に達した劣化パラメータが軸系電流比率Ｌｓｈａｆｔの場合は、回転機械系１１の回転機械軸系の負荷に変化が生じたと推定され、軸系のミスアラインメント、アンバランス等の異常が考えられる。
劣化判定基準値に達した劣化パラメータがポール通過電流比率Ｌｐｏｌｅの場合は、三相誘導電動機１２の回転子に劣化が生じたと推定され、回転子バーの損傷等の異常が考えられる。劣化判定基準値に達した劣化パラメータが回転子すべり電流比率Ｌｒｓの場合は、三相誘導電動機１２の負荷トルクと回転子の実回転数が変化したと推測される。 Further, when the deterioration parameter that has reached the deterioration determination reference value is the shaft system current ratio L shaft , it is estimated that a change has occurred in the load of the rotating machine shaft system of the rotating machine system 11, and misalignment of the shaft system, unbalance, etc. An abnormality may be considered.
When the deterioration parameter that has reached the deterioration determination reference value is the pole passing current ratio L pole , it is estimated that the rotor of the three-phase induction motor 12 has deteriorated, and abnormality such as damage to the rotor bar is considered. When the deterioration parameter that has reached the deterioration determination reference value is the rotor slip current ratio L rs , it is estimated that the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor have changed.

劣化判定基準値に達した劣化パラメータがブレード通過電流比率Ｌｂｐの場合は、三相誘導電動機１２により駆動される流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生が推測される。
劣化判定基準値に達した劣化パラメータが噛合い電流比率Ｌｇｚ又はギアポール電流比率Ｌｇｐの場合は、三相誘導電動機１２により駆動される歯車装置の歯車の摩耗、潤滑不良、折損等の異常が推測される。劣化判定基準値に達した劣化パラメータがベルト回転電流比率Ｌｂｒの場合は、三相誘導電動機１２により駆動されるプーリーベルト駆動系のプーリーのミスアラインメントとベルトの張り具合の異常が推測される。 When the deterioration parameter that has reached the deterioration determination reference value is the blade passing current ratio L bp , it is estimated that the blades and casing provided in the fluid rotary machine driven by the three-phase induction motor 12 are worn or corroded.
When the deterioration parameter that has reached the deterioration determination reference value is the meshing current ratio L gz or the gear pole current ratio L gp , abnormalities such as gear wear, lubrication failure, breakage, etc. of the gear device driven by the three-phase induction motor 12 may occur. Guessed. When the deterioration parameter that has reached the deterioration determination reference value is the belt rotation current ratio Lbr , it is estimated that the pulley misalignment of the pulley belt drive system driven by the three-phase induction motor 12 and the belt tension are abnormal.

本発明の一実施の形態に係る回転機械系の異常監視装置１０を用いた回転機械系の異常監視方法は、例えば、回転機械系１１の総合的な状態を評価する劣化パラメータの値を求め、劣化パラメータの値が予め設定した第１の劣化判定基準値（注意判定基準値）に達した際に回転機械系１１の異常を検知する簡易診断を行う回転機械系の異常検知方法と、回転機械系１１の機械的構造に起因して発生する個別的な状態をそれぞれ定量的に評価する劣化パラメータの値を求め、劣化パラメータの値が予め設定した第１の劣化判定基準値（注意判定基準値）に達した際に回転機械系１１の異常を検知する簡易診断を行う複数の回転機械系の異常検知方法を組み合わせた回転機械系１１の異常監視方法であって、図４に示すように、複数の簡易診断を繰り返す劣化傾向管理工程と、複数の簡易診断の少なくとも一つで回転機械系１１の異常が検知され、劣化パラメータの値が予め設定した第２の劣化判定基準値（危険判定基準値）に達した際に、当該パラメータに基づいて異常の種類と回転機械系における異常箇所を特定する精密異常診断工程とを有する。以下、詳細に説明する。 The rotating machine system abnormality monitoring method using the rotating machine system abnormality monitoring apparatus 10 according to the embodiment of the present invention obtains, for example, the value of a degradation parameter for evaluating the overall state of the rotating machine system 11, An abnormality detection method for a rotating machine system for performing a simple diagnosis for detecting an abnormality of the rotating machine system 11 when the value of the deterioration parameter reaches a preset first deterioration determination reference value (attention determination reference value), and the rotating machine A deterioration parameter value that quantitatively evaluates each individual state caused by the mechanical structure of the system 11 is obtained, and a first deterioration determination reference value (attention determination reference value) in which the deterioration parameter value is preset. ) Is an abnormality monitoring method for the rotating machine system 11 that combines a plurality of rotating machine system abnormality detection methods for performing a simple diagnosis for detecting an abnormality of the rotating machine system 11, as shown in FIG. Multiple simple diagnoses An abnormality of the rotating machine system 11 is detected by at least one of the repeated deterioration tendency management process and a plurality of simple diagnoses, and the value of the deterioration parameter reaches a preset second deterioration determination reference value (risk determination reference value). A precise abnormality diagnosis process for identifying the type of abnormality and the abnormal part in the rotating machine system based on the parameters. Details will be described below.

（劣化傾向管理工程）
回転機械系１１の総合的な状態を評価する劣化パラメータによる簡易診断を行う回転機械系の異常検知方法では、先ず、三相誘導電動機１２の稼働時電流信号を、劣化パラメータ算出部１３の電流検出器１６で検出し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の電流情報量算出手段１９に入力して電流情報量ＫＩを算出する（Ｓ−２）。電流情報量ＫＩを、簡易異常診断部１４に入力し、電流情報量ＫＩの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）と比較する。また、電流情報量ＫＩを劣化傾向管理手段３４に保存し、余寿命予測手段３５では保存した電流情報量ＫＩを用いて電流情報量ＫＩの経時変化挙動を監視する（以上、Ｓ−３）。そして、電流情報量ＫＩが第２の劣化判定基準値（危険判定基準値）に達していない場合は簡易診断を繰り返す（Ｓ−４）。 (Deterioration tendency management process)
In the abnormality detection method for a rotating machine system that performs a simple diagnosis using a deterioration parameter that evaluates the overall state of the rotating machine system 11, first, an operating current signal of the three-phase induction motor 12 is used as a current detection of a deterioration parameter calculation unit 13. An operating current signal detected by the detector 16 and digitized by the A / D converter 17 is obtained (S-1). Next, the digitized operating current signal is input to the current information amount calculation means 19 of the processing unit 18 of the deterioration parameter calculation unit 13 to calculate the current information amount KI (S-2). The current information amount KI is input to the simple abnormality diagnosis unit 14 and compared with the first and second deterioration determination reference values (caution determination reference value and danger determination reference value) of the current information amount KI. Further, the current information amount KI is stored in the deterioration tendency management unit 34, and the remaining life prediction unit 35 monitors the temporal change behavior of the current information amount KI using the stored current information amount KI (S-3). If the current information amount KI does not reach the second deterioration determination reference value (danger determination reference value), the simple diagnosis is repeated (S-4).

回転機械系１１の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータによる簡易診断を行う回転機械系の異常検知方法では、先ず、回転機械系１１の機械的構造に基づいて劣化パラメータの選定を行う。例えば、回転機械系１１が三相誘導電動機１２により駆動される流体回転機械である場合、劣化パラメータとして、回転機械系１１の回転機械軸系の負荷状況を評価する軸系電流比率Ｌｓｈａｆｔ、三相誘導電動機１２の回転子の劣化状況を評価するポール通過電流比率Ｌｐｏｌｅ、三相誘導電動機１２の負荷トルクと実回転数の変化を推測する回転子すべり電流比率Ｌｒｓ、及び流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生状況を推測するブレード通過電流比率Ｌｂｐを選択する。 In the rotating machine system abnormality detection method for performing a simple diagnosis using a deterioration parameter for evaluating the individual state generated due to the mechanical structure of the rotating machine system 11, first, based on the mechanical structure of the rotating machine system 11. Select degradation parameters. For example, when the rotary machine system 11 is a fluid rotary machine driven by a three-phase induction motor 12, the shaft system current ratio Lshaft for evaluating the load status of the rotary machine shaft system of the rotary machine system 11 as the deterioration parameter, three The pole passing current ratio L pole for evaluating the deterioration state of the rotor of the phase induction motor 12, the rotor slip current ratio L rs for estimating the load torque and the actual rotation speed of the three-phase induction motor 12, and the fluid rotating machine The blade passing current ratio L bp for estimating the state of occurrence of wear and corrosion of the provided blade and casing is selected.

（軸系電流比率Ｌｓｈａｆｔによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して高速フーリエ変換を行って電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machine system that performs simple diagnosis by shaft system current ratio Lshaft )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculation unit 13 and subjected to fast Fourier transform to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを軸系電流比率算出手段２５に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の実回転周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する電源周波数の電流スペクトルピークの側帯波を抽出し、ピークの高い側帯波のピーク値２０ｌｏｇＩｓｈａｆｔを求め、第３工程では、ピーク値２０ｌｏｇＩｓｈａｆｔ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、軸系電流比率Ｌｓｈａｆｔを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｓｈａｆｔ）として算出する（Ｓ−６）。 In the second step, the obtained current spectrum is input to the shaft system current ratio calculating means 25, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. extract the actual rotational frequency of the current spectral peak of the power supply frequency present amount corresponding frequency position away respectively to the low frequency side and high frequency side (an example of a characteristic frequency) sideband, the peak value of the high peak sidebands 20LogI, shaft the calculated, in the third step, by using the peak value 20LogI line current spectrum peak of the peak value 20LogI, shaft and power frequency, calculates the shafting current ratio L, shaft as 20log (I line / I shaft) (S-6 ).

第４工程では、得られた軸系電流比率Ｌｓｈａｆｔを劣化パラメータとして劣化傾向管理手段３４に記録すると共に、軸系電流比率Ｌｓｈａｆｔの値と軸系電流比率Ｌｓｈａｆｔの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した軸系電流比率Ｌｓｈａｆｔを用いて軸系電流比率Ｌｓｈａｆｔの経時変化挙動を監視する（以上、Ｓ−３）。そして、軸系電流比率Ｌｓｈａｆｔが第２の劣化判定基準値（危険判定基準値）に達していない場合は軸系電流比率Ｌｓｈａｆｔによる簡易診断を繰り返し、軸系電流比率Ｌｓｈａｆｔが第２の劣化判定基準値（危険判定基準値）に達した場合は、軸系電流比率Ｌｓｈａｆｔで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the degradation tendency managing unit 34 shafting current ratio L, shaft obtained as deterioration parameter, a first shafting current ratio L, shaft value and shafting current ratio L, shaft, the second The deterioration judgment reference value (caution judgment reference value, danger judgment reference value) is compared. Further, to monitor the aging behavior of the shafting current ratio L, shaft with a shaft system current ratio L, shaft stored in remaining life prediction means 35 (or, S-3). The shafting current ratio L, shaft second deterioration determination reference value if not (risk determination reference value) reached repeats simplified diagnosis by shafting current ratio L, shaft, shafting current ratio L, shaft is in the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected at the shaft system current ratio L shift is input to the precise abnormality diagnosis unit 15 (S-4).

（ポール通過電流比率Ｌｐｏｌｅによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machinery system that performs simple diagnosis by pole passing current ratio L pole )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをポール通過電流比率算出手段２６に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のポール通過周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値２０ｌｏｇＩｐｏｌｅを求め、第３工程では、ピーク値２０ｌｏｇＩｐｏｌｅ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、ポール通過電流比率Ｌｐｏｌｅを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｐｏｌｅ）として算出する（Ｓ−６）。 In the second step, the obtained current spectrum is input to the pole passing current ratio calculating means 26, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. By extracting sidebands present at frequency positions separated by a pole passing frequency (an example of characteristic frequency) on the low frequency side and the high frequency side respectively, a peak value 20 logI pole of the high sideband wave is obtained. , using the peak value 20LogI line current spectrum peak of the peak value 20LogI pole and line frequency, calculates a pole passing current ratio L pole as 20log (I line / I pole) (S-6).

第４工程では、得られたポール通過電流比率Ｌｐｏｌｅを劣化傾向管理手段３４に記録すると共に、ポール通過電流比率Ｌｐｏｌｅの値とポール通過電流比率Ｌｐｏｌｅの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した軸系電流比率Ｌｐｏｌｅを用いてポール通過電流比率Ｌｐｏｌｅの経時変化挙動を監視する（以上、Ｓ−３）。そして、ポール通過電流比率Ｌｐｏｌｅが第２の劣化判定基準値（危険判定基準値）に達していない場合はポール通過電流比率Ｌｐｏｌｅによる簡易診断を繰り返し、ポール通過電流比率Ｌｐｏｌｅが第２の劣化判定基準値（危険判定基準値）に達した場合は、ポール通過電流比率Ｌｐｏｌｅで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, records the pole passing current ratio L pole obtained in the degradation tendency management unit 34, first, second deterioration determination reference value and the pole passing current ratio L pole pole passing current ratio L pole Compare the values (caution judgment standard value, danger judgment standard value). Further, the remaining life prediction means 35 monitors the temporal change behavior of the pole passing current ratio L pole using the stored shaft system current ratio L pole (S-3). Then, when the pole passing current ratio L pole has not reached the second deterioration determination reference value (risk determination reference value) repeating the simplified diagnosis by Paul passing current ratio L pole, pole passing current ratio L pole is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected with the pole passing current ratio L pole is input to the precise abnormality diagnosis unit 15 (S-4).

（回転子すべり電流比率Ｌｒｓによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Rotary machine system abnormality detection method for simple diagnosis by rotor slip current ratio L rs )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを回転子すべり電流比率算出手段２７に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の回転子バーすべり周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｒｓを求め、第３工程では、ピーク値２０ｌｏｇＩｒｓ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、回転子すべり電流比率Ｌｒｓを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｒｓ）として算出する（Ｓ−６）。
ここで、第２工程において、回転子バーすべり周波数は、三相誘導電動機１２の回転子バーの本数ｈと、三相誘導電動機１２のすべり周波数ｆｓ（三相誘導電動機１２の同期回転周波数ｆｘと実回転周波数ｆｒの差ｆｘ−ｆｒとして求める）との積ｈｆｓとして定義される。 In the second step, the obtained current spectrum is input to the rotor slip current ratio calculating means 27, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the three-phase induction motor 12 from the current spectrum. Sideband waves present at frequency positions that are separated from the low-frequency side and the high-frequency side by the rotor bar slip frequency (an example of the characteristic frequency), respectively, and the peak value I rs of the high-sideband sideband is obtained, 3 in the process, using the peak value 20LogI line current spectrum peak of the peak value 20LogI rs and power frequency, and calculates the rotor slip current ratio L rs as 20log (I line / I rs) (S-6).
Here, in the second step, the rotor bar slip frequency includes the number h of rotor bars of the three-phase induction motor 12 and the slip frequency f s of the three-phase induction motor 12 (synchronous rotation frequency f of the three-phase induction motor 12). It is defined as the product hf s and determined as the difference between f x -f r of x and the actual rotational frequency f r).

第４工程では、得られた回転子すべり電流比率Ｌｒｓを劣化傾向管理手段３４に記録すると共に、回転子すべり電流比率Ｌｒｓの値と回転子すべり電流比率Ｌｒｓの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した回転子すべり電流比率Ｌｒｓを用いて回転子すべり電流比率Ｌｒｓの経時変化挙動を監視する（以上、Ｓ−３）。そして、回転子すべり電流比率Ｌｒｓが第２の劣化判定基準値（危険判定基準値）に達していない場合は回転子すべり電流比率Ｌｒｓによる簡易診断を繰り返し、回転子すべり電流比率Ｌｒｓが第２の劣化判定基準値（危険判定基準値）に達した場合は、回転子すべり電流比率Ｌｒｓで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, it records the rotor slip current ratio L rs obtained in the degradation tendency managing unit 34, rotor slip current ratio L rs values and first rotor slip current ratio L rs, of the second The deterioration judgment reference value (caution judgment reference value, danger judgment reference value) is compared. Further, to monitor the aging behavior of the rotor slip current ratio L rs with rotor slip current ratio L rs stored in remaining life prediction means 35 (or, S-3). Then, when the rotor slip current ratio L rs has not reached the second deterioration determination reference value (risk determination reference value) repeating the simplified diagnosis by rotor slip current ratio L rs, the rotor sliding current ratio L rs When the second deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected at the rotor slip current ratio L rs is input to the precise abnormality diagnosis unit 15 (S-4).

（ブレード通過電流比率Ｌｂｐによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machine system that performs simple diagnosis by blade passing current ratio L bp )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをブレード通過電流比率算出手段２８に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のブレード通過周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｂｐを求め、第３工程では、ピーク値２０ｌｏｇＩｂｐ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、回転子すべり電流比率Ｌｒｓを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｐ）として算出する（Ｓ−６）。
ここで、第２工程において、ブレード通過周波数は、流体回転機械に設けられたブレード数ｍと、三相誘導電動機１２の実回転周波数ｆｒの積ｍｆｒとして定義される。 In the second step, the obtained current spectrum is input to the blade passing current ratio calculation means 28, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. By extracting sideband waves that exist at frequency positions that are separated from the low frequency side and the high frequency side by the blade passing frequency (an example of the characteristic frequency), the peak value I bp of the high sideband wave is obtained. , using the peak value 20LogI line current spectrum peak of the peak value 20LogI bp and power frequency, and calculates the rotor slip current ratio L rs as 20log (I line / I bp) (S-6).
Here, in the second step, the blade pass frequency, a blade number m provided in the fluid rotary machine, is defined as the product mf r of the actual rotational frequency f r of the three-phase induction motor 12.

第４工程では、得られたブレード通過電流比率Ｌｂｐを劣化傾向管理手段３４に記録すると共に、ブレード通過電流比率Ｌｂｐの値とブレード通過電流比率Ｌｂｐの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存したブレード通過電流比率Ｌｂｐを用いてブレード通過電流比率Ｌｂｐの経時変化挙動を監視する（以上、Ｓ−３）。そして、ブレード通過電流比率Ｌｂｐが第２の劣化判定基準値（危険判定基準値）に達していない場合はブレード通過電流比率Ｌｂｐによる簡易診断を繰り返し、ブレード通過電流比率Ｌｂｐが第２の劣化判定基準値（危険判定基準値）に達した場合は、ブレード通過電流比率Ｌｂｐで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, the obtained blade passage current ratio L bp is recorded in the deterioration tendency management means 34, and the values of the blade passage current ratio L bp and the first and second deterioration judgment criteria of the blade passage current ratio L bp are recorded. Compare the values (caution judgment standard value, danger judgment standard value). Further, the remaining life predicting means 35 uses the stored blade passage current ratio Lbp to monitor the change with time of the blade passage current ratio Lbp (S-3). The blade passing current ratio L bp is if it does not reach the second deterioration determination reference value (risk determination reference value) Repeat simplified diagnosis by the blade passing current ratio L bp, blade passing current ratio L bp is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected at the blade passing current ratio L bp is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).

ここで、精密異常診断部１５に入力された劣化パラメータが軸系電流比率Ｌｓｈａｆｔの場合は、回転機械系１１の回転機械軸系の負荷に変化が生じたと推定され、軸系のミスアラインメント、アンバランス等の異常が考えられる。劣化パラメータがポール通過電流比率Ｌｐｏｌｅの場合は、三相誘導電動機１２の回転子に劣化が生じたと推定され、回転子バーの損傷等の異常が考えられる。劣化パラメータが回転子すべり電流比率Ｌｒｓの場合は、三相誘導電動機１２の負荷トルクと回転子の実回転数が変化したと推測される。劣化パラメータがブレード通過電流比率Ｌｂｐの場合は、三相誘導電動機１２により駆動される流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生が推測される。 Here, when the deterioration parameter input to the precision abnormality diagnosis unit 15 is the shaft system current ratio Lshaft , it is estimated that a change has occurred in the load of the rotary machine shaft system of the rotary machine system 11, and the shaft system misalignment, Abnormalities such as unbalance are considered. When the deterioration parameter is the pole passing current ratio L pole , it is estimated that the rotor of the three-phase induction motor 12 has deteriorated, and abnormality such as damage to the rotor bar is considered. When the deterioration parameter is the rotor slip current ratio L rs , it is estimated that the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor have changed. When the deterioration parameter is the blade passage current ratio L bp , it is estimated that the blade and casing provided in the fluid rotary machine driven by the three-phase induction motor 12 are worn or corroded.

（劣化傾向管理工程）
なお、回転機械系１１が三相誘導電動機１２と接続する減速機の場合、ブレード通過電流比率Ｌｂｐの代わりに噛合い電流比率Ｌｇｚを選定し、回転機械系の異常検知方法として噛合い電流比率Ｌｇｚによる簡易診断を行う。即ち、第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Deterioration tendency management process)
When the rotating machine system 11 is a speed reducer connected to the three-phase induction motor 12, the meshing current ratio L gz is selected instead of the blade passing current ratio L bp , and the meshing current is detected as an abnormality detection method for the rotating machine system. A simple diagnosis is performed using the ratio L gz . That is, in the first step, as shown in FIG. 4, the current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. An hourly current signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを噛合い電流比率算出手段２９に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の歯車噛合い周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｇｚを求め、第３工程では、ピーク値２０ｌｏｇＩｇｚ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、噛合い電流比率Ｌｇｚを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｚ）として算出する（Ｓ−６）。
ここで、第２工程において、歯車噛合い周波数は、三相誘導電動機１２の回転子の回転軸に取付けられた歯車の歯数ｚと、三相誘導電動機１２の実回転周波数ｆｒとの積ｚｆｒとして定義される。 In the second step, the obtained current spectrum is input to the meshing current ratio calculating means 29, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. A side step wave existing at a frequency position that is separated from the low frequency side and the high frequency side by the gear meshing frequency (an example of the characteristic frequency) is extracted, and the peak value I gz of the high side band wave is obtained. in using the peak value 20LogI line current spectrum peak of the peak value 20LogI gz and power frequency, to calculate a mesh current ratio L gz as 20log (I line / I gz) (S-6).
Here, in the second step, the frequency have gears meshed, the number of teeth z gear attached to the rotation shaft of the rotor of the three-phase induction motor 12, the product of the actual rotational frequency f r of the three-phase induction motor 12 defined as zf r .

第４工程では、得られた噛合い電流比率Ｌｇｚを劣化傾向管理手段３４に記録すると共に、噛合い電流比率Ｌｇｚの値と噛合い電流比率Ｌｇｚの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した噛合い電流比率Ｌｇｚを用いて噛合い電流比率Ｌｇｚの経時変化挙動を監視する（以上、Ｓ−３）。そして、噛合い電流比率Ｌｇｚが第２の劣化判定基準値（危険判定基準値）に達していない場合は噛合い電流比率Ｌｇｚによる簡易診断を繰り返し、噛合い電流比率Ｌｇｚが第２の劣化判定基準値（危険判定基準値）に達した場合は、噛合い電流比率Ｌｇｚで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the meshes obtained had current ratio L gz deterioration trend management unit 34, first, second deterioration determination reference meshing current ratio L gz value and meshing current ratio L gz Compare the values (caution judgment standard value, danger judgment standard value). Further, to monitor the aging behavior of the current ratio L gz meshing with meshing current ratio L gz stored in remaining life prediction means 35 (or, S-3). The mesh current ratio L gz second deterioration determination reference value if not (risk determination reference value) reached repeats simplified diagnosis by meshing current ratio L gz, mesh current ratio L gz is second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected at the meshing current ratio L gz is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。
精密異常診断部１５に入力された劣化パラメータが噛合い電流比率Ｌｇｚの場合は、三相誘導電動機１２により駆動される歯車装置の歯車の摩耗、潤滑不良、折損等の異常が推測できる。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).
When the deterioration parameter input to the precision abnormality diagnosis unit 15 is the meshing current ratio L gz , abnormalities such as gear wear, lubrication failure, breakage, etc. of the gear device driven by the three-phase induction motor 12 can be estimated.

（劣化傾向管理工程）
また、回転機械系１１が三相誘導電動機１２により駆動されるベルト駆動回転機械の場合、ブレード通過電流比率Ｌｂｐの代わりにベルト回転電流比率Ｌｂｒを選定し、回転機械系の異常検知方法としてベルト回転電流比率Ｌｂｒによる簡易診断を行う。
即ち、第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Deterioration tendency management process)
Further, when the rotating machine system 11 is a belt-driven rotating machine driven by a three-phase induction motor 12, a belt rotating current ratio Lbr is selected instead of the blade passing current ratio Lbp , and an abnormality detection method for the rotating machine system is performed. A simple diagnosis is performed based on the belt rotation current ratio Lbr .
That is, in the first step, as shown in FIG. 4, the current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. An hourly current signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをベルト回転電流比率算出３０に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のベルト回転周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｂｒを求め、第３工程では、ピーク値２０ｌｏｇＩｂｒ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、ベルト回転電流比率Ｌｂｒを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｒ）として算出する（Ｓ−６）。
ここで、第２工程において、ベルト回転周波数は、三相誘導電動機１２の回転子の回転軸に設けられたプーリーの１回転に伴うベルト移動量のベルト全長に対する移動比率と、三相誘導電動機１２の実回転周波数の積として定義される。 In the second step, the obtained current spectrum is input to the belt rotation current ratio calculation 30, and the belt of the three-phase induction motor 12 is centered on the current spectrum peak of the power supply frequency of the three-phase induction motor 12 from the current spectrum. sidebands present in an amount corresponding frequency position away respectively to the low frequency side and high frequency side (an example of a characteristic frequency) rotational frequency is extracted, determine the peak value I br for high peak sidebands, in a third step, using the peak value 20LogI line current spectrum peak of the peak value 20LogI br and power frequency, to calculate a belt rotating current ratio L br as 20log (I line / I br) (S-6).
Here, in the second step, the belt rotation frequency is determined based on the movement ratio of the belt movement amount with respect to the total belt length with one rotation of the pulley provided on the rotation shaft of the rotor of the three-phase induction motor 12, and the three-phase induction motor 12. Is defined as the product of the actual rotation frequency.

第４工程では、得られたベルト回転電流比率Ｌｂｒを劣化傾向管理手段３４に記録すると共に、ベルト回転電流比率Ｌｂｒの値とベルト回転電流比率Ｌｂｒの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存したベルト回転電流比率Ｌｂｒを用いてベルト回転電流比率Ｌｂｒの経時変化挙動を監視する（以上、Ｓ−３）。そして、ベルト回転電流比率Ｌｂｒが第２の劣化判定基準値（危険判定基準値）に達していない場合はベルト回転電流比率Ｌｂｒによる簡易診断を繰り返し、ベルト回転電流比率Ｌｂｒが第２の劣化判定基準値（危険判定基準値）に達した場合は、ベルト回転電流比率Ｌｂｒで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the obtained belt rotating current ratio L br degradation trend management unit 34, first, second deterioration determination reference of the belt rotating current ratio L br value and the belt rotating current ratio L br Compare the values (caution judgment standard value, danger judgment standard value). Further, to monitor the aging behavior of the belt rotating current ratio L br using belt rotating current ratio L br saved in remaining life prediction means 35 (or, S-3). And, if the belt rotating current ratio L br does not reach the second deterioration determination reference value (risk determination reference value) Repeat simplified diagnosis by the belt rotating current ratio L br, belt rotating current ratio L br is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected in the belt rotation current ratio Lbr is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。
精密異常診断部１５に入力された劣化パラメータがベルト回転電流比率Ｌｂｒの場合は、三相誘導電動機１２により駆動されるプーリーベルト駆動系のプーリーのミスアラインメントとベルトの張り具合及び摩耗の異常が推測できる。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).
When the deterioration parameter input to the precision abnormality diagnosis unit 15 is the belt rotation current ratio Lbr , the pulley misalignment of the pulley belt drive system driven by the three-phase induction motor 12 and the belt tension and wear abnormality I can guess.

以上、本発明を、実施の形態を参照して説明してきたが、本発明は何ら上記した実施の形態に記載の構成に限定されるものではなく、特許請求の範囲に記載されている事項の範囲内で考えられるその他の実施の形態や変形例も含むものである。
例えば、三相誘導電動機の稼働時電流信号を、劣化パラメータ算出部の電流検出器で検出し、Ａ／Ｄ変換器によりデジタル化した後に劣化パラメータ算出部に入力するオンラインによる回転機械系の異常検知方法を用いた回転機械系の異常監視方法について説明したが、三相誘導電動機の稼働時電流信号を計測して保存した後、劣化パラメータ算出部に入力するオフラインによる回転機械系の異常検知方法を用いた回転機械系の異常監視方法も可能である。 As described above, the present invention has been described with reference to the embodiment. However, the present invention is not limited to the configuration described in the above embodiment, and the matters described in the scope of claims. Other embodiments and modifications conceivable within the scope are also included.
For example, an on-line abnormality detection of a rotating machine system that detects a current signal of a three-phase induction motor during operation with a current detector of a deterioration parameter calculation unit, digitizes it with an A / D converter, and then inputs it to the deterioration parameter calculation unit Although the method for monitoring abnormalities in rotating machinery using this method has been explained, after measuring and storing the current signal during operation of the three-phase induction motor, an offline method for detecting abnormalities in rotating machinery that is input to the deterioration parameter calculation unit An abnormality monitoring method for the rotating machine system used is also possible.

回転機械系の異常検知方法では、回転機械系の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータによる簡易診断を複数同時に実行したが、一つの劣化パラメータを選択して実行することもできる。
また、特徴周波数である歯車噛合い周波数を、三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、三相誘導電動機の実回転周波数との積として定義する場合について説明したが、特徴周波数を三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、三相誘導電動機のポール通過周波数との積として定義されるギアポール周波数としてもよく、特徴周波数として歯車噛合い周波数とギアポール周波数の両方を採用することもできる。
また、回転機械系の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータとして、電流実効値Ｉｒｍｓ、稼働時電流信号の３相電流バランスＩｕｂ、稼働時電流信号の電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓのいずれか１又は任意の２以上の組み合わせを加えることもできる。
電流実効値Ｉｒｍｓで異常が検知されると、回転機械系の負荷に異常が、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、又は電流全調波比率Ｉｄｉｓで異常が検知されると、電源品質又は三相誘導電動機の固定子で異常が生じていると推測できる。
更に、電源周波数の電流スペクトルピークの側帯波の両方の電流スペクトルピーク値を求める場合は、電流スペクトルピーク値の平均値を側帯波の電流スペクトルピーク値とする。
なお、三相誘導電動機の電源は、インバータ電源であっても本発明は適用できる。 In the rotating machine system abnormality detection method, multiple simple diagnoses using deterioration parameters that evaluate individual conditions that occur due to the mechanical structure of the rotating machine system were executed simultaneously, but one deterioration parameter was selected and executed. You can also
Also, the case where the gear meshing frequency, which is the characteristic frequency, is defined as the product of the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor and the actual rotation frequency of the three-phase induction motor has been described. However, the characteristic frequency may be a gear pole frequency defined as the product of the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor and the pole passing frequency of the three-phase induction motor. Both the meshing frequency and the gear pole frequency can be employed.
In addition, as degradation parameters for evaluating individual states generated due to the mechanical structure of the rotating machine system, the current effective value I rms , the three-phase current balance I ub of the operating current signal, the current of the operating current signal Any one or any combination of two or more of the monoharmonic ratio i dis and the current total harmonic ratio I dis may be added.
When an abnormality is detected with the current effective value I rms , an abnormality is detected in the load of the rotating machine system, and an abnormality is detected with the three-phase current balance I ub , the current monoharmonic ratio i dis , or the current total harmonic ratio I dis. It can be assumed that an abnormality has occurred in the power quality or the stator of the three-phase induction motor.
Furthermore, when obtaining the current spectrum peak values of both sidebands of the current spectrum peak of the power supply frequency, the average value of the current spectrum peak values is set as the current spectrum peak value of the sideband wave.
Note that the present invention can be applied even if the power source of the three-phase induction motor is an inverter power source.

１０：回転機械系の異常監視装置、１１：回転機械系、１２：三相誘導電動機、１２ａ：電源ケーブル、１３：劣化パラメータ算出部、１４：簡易異常診断部、１５：精密異常診断部、１６：電流検出器、１７：Ａ／Ｄ変換器、１８：処理ユニット、１９：電流情報量算出手段、２０：電流実効値算出手段、２１：３相電流バランス算出手段、２２：電流単調波比率算出手段、２３：電流全調波比率算出手段、２４：高速フーリエ変換器、２５：軸系電流比率算出手段、２６：ポール通過電流比率算出手段、２７：回転子すべり電流比率算出手段、２８：ブレード通過電流比率算出手段、２９：噛合い電流比率算出手段、２９ａ：ギアポール電流比率算出手段、３０：ベルト回転電流比率算出、３１：劣化パラメータ選定手段、３２：データベース、３３：簡易診断手段、３４：劣化傾向管理手段、３５：余寿命予測手段 10: rotating machine system abnormality monitoring device, 11: rotating machine system, 12: three-phase induction motor, 12a: power cable, 13: deterioration parameter calculation unit, 14: simple abnormality diagnosis unit, 15: precision abnormality diagnosis unit, 16 : Current detector, 17: A / D converter, 18: processing unit, 19: current information amount calculating means, 20: current effective value calculating means, 21: three-phase current balance calculating means, 22: current monoharmonic ratio calculation Means: 23: current total harmonic ratio calculating means, 24: fast Fourier transformer, 25: axial current ratio calculating means, 26: pole passing current ratio calculating means, 27: rotor slip current ratio calculating means, 28: blade Passing current ratio calculating means, 29: meshing current ratio calculating means, 29a: gear pole current ratio calculating means, 30: belt rotation current ratio calculating, 31: deterioration parameter selecting means, 32: data Over scan, 33: simplified diagnosis means, 34: degradation tendency managing unit, 35: remaining life prediction means

本発明は、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の状態から回転機械系の異常を検知する回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置に関する。 The present invention relates to a rotating machine system abnormality detection method for detecting an abnormality of a rotating machine system from the state of an operating current signal of a three-phase induction motor that is a driving source of the rotating machine system, and a rotating machine system using the abnormality detection method The present invention relates to an abnormality monitoring method and a rotating machine system abnormality monitoring apparatus using the abnormality monitoring method.

誘導電動機の電流信号特徴解析（ＭＣＳＡ：Ｍｏｔｏｒ Ｃｕｒｒｅｎｔ Ｓｉｇｎａｔｕｒｅ Ａｎａｌｙｓｉｓ）による回転機械系の異常診断方法として、例えば、特許文献１には、回転機械系の誘導電動機の稼働時電流信号を検出し、その波形から求まる振幅確率密度関数の情報量ＫＩをパラメータに用いて、回転機械系の異常検出を行うことが開示されている。しかし、一種類のパラメータだけで回転機械系の状態を代表することは難しく、回転機械系に発生した異常種類の識別及び異常箇所の特定を行う精密診断には使えないという問題がある。そこで、誘導電動機の電流信号特徴解析による回転機械系の精密診断は、誘導電動機の稼働時電流信号をＦＦＴ変換（高速フーリエ変換）して得られるスペクトルパターンの特徴を求める（スペクトルパターンを識別する）ことにより行われている。 As a method for diagnosing abnormalities in a rotating machine system by MCSA (Motor Current Signature Analysis), for example, Patent Document 1 discloses a current signal detected during operation of an induction motor of a rotating machine system and its waveform. It is disclosed that abnormality detection of a rotating machine system is performed using an information amount KI of an amplitude probability density function obtained from the above as a parameter. However, it is difficult to represent the state of the rotating machine system with only one type of parameter, and there is a problem that it cannot be used for precise diagnosis for identifying the type of abnormality occurring in the rotating machine system and specifying the abnormal part. Therefore, precise diagnosis of a rotating machine system by analyzing the current signal characteristics of the induction motor obtains the characteristics of the spectrum pattern obtained by FFT transform (fast Fourier transform) of the current signal during operation of the induction motor (identifies the spectrum pattern). Has been done.

特許第５７３３９１３号公報Japanese Patent No. 5733913

しかしながら、誘導電動機の稼働時電流信号のスペクトルパターンから誘導電動機の状態を診断するには、回転機械系に発生する異常に関するかなりの理論的知識と、回転機械系の現場経験が要求されるため、一つの回転機械系に対しても診断結果にばらつきが生じ易いという問題がある。
更に、誘導電動機の稼働時電流信号のスペクトルパターンから異常種類の識別が可能となっても、回転機械系に発生している異常の程度に応じた対応に関する情報（例えば、異常が発生した機器に対して、直ちに入替え（交換）又は補修が必要か、当面は経過観察だけで十分か等）は得られず、実用性に欠けるという問題もある。 However, in order to diagnose the state of the induction motor from the spectrum pattern of the current signal during operation of the induction motor, considerable theoretical knowledge about the abnormality that occurs in the rotating machine system and field experience of the rotating machine system are required. There is also a problem that the diagnostic results are likely to vary even for one rotating machine system.
Furthermore, even if it is possible to identify the type of abnormality from the spectrum pattern of the current signal during operation of the induction motor, information related to the response according to the degree of abnormality occurring in the rotating machine system (for example, the device in which the abnormality has occurred). On the other hand, it is not possible to immediately replace (replace) or repair or whether it is sufficient to just follow up for the time being, and there is a problem of lack of practicality.

本発明はかかる事情に鑑みてなされたもので、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の状態から回転機械系の異常を検知する回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置を提供することを目的とする。 The present invention has been made in view of such circumstances, and an abnormality detection method for a rotating machine system that detects an abnormality of the rotating machine system from the state of an operating current signal of a three-phase induction motor that is a drive source of the rotating machine system, An object of the present invention is to provide a rotating machine system abnormality monitoring method using an abnormality detection method, and a rotating machine system abnormality monitoring apparatus using the abnormality monitoring method.

前記目的に沿う第１の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波（図５参照）を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行い、
しかも、前記特徴周波数を、前記三相誘導電動機の回転子バーの本数と、該三相誘導電動機のすべり周波数との積として定義される回転子バーすべり周波数とする。
前記目的に沿う第２の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行い、
しかも、前記特徴周波数を、前記三相誘導電動機により駆動される流体回転機械に設けられたブレード数と、該三相誘導電動機の実回転周波数との積として定義されるブレード通過周波数とする。
前記目的に沿う第３の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行い、
しかも、前記特徴周波数を、前記三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、該三相誘導電動機の実回転周波数との積として定義される歯車噛合い周波数とする。
前記目的に沿う第４の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行い、
しかも、前記特徴周波数を、前記三相誘導電動機のポール通過周波数と、該三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数との積として定義されるギアポール周波数とする。
前記目的に沿う第５の発明に係る回転機械系の異常検知方法は、三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行い、
しかも、前記特徴周波数を、前記三相誘導電動機の回転子の回転軸に取付けられたプーリーの１回転に伴うベルト移動量のベルト全長に対する移動比率と、該三相誘導電動機の実回転周波数の積として定義されるベルト回転周波数とする。 The abnormality detection method for a rotating machine system according to the first invention that meets the above-described object is the result of analyzing the current signal during operation of the three-phase induction motor as an abnormality occurring in the rotary machine system using the three-phase induction motor as a drive source. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a current spectrum peak sideband wave (see FIG. 5) of the power supply frequency present at a frequency position separated from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. There line a simple diagnosis and a step,
Moreover, the characteristic frequency is a rotor bar slip frequency defined as a product of the number of rotor bars of the three-phase induction motor and the slip frequency of the three-phase induction motor .
The abnormality detection method for a rotating machine system according to the second invention in accordance with the above object is directed to analyzing an abnormality occurring in a rotating machine system using a three-phase induction motor as a drive source, and an analysis result of an operating current signal of the three-phase induction motor. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a sideband wave of the current spectrum peak of the power supply frequency existing at a frequency position away from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. A simple diagnosis with a process,
Moreover, the characteristic frequency is a blade passing frequency defined as the product of the number of blades provided in the fluid rotary machine driven by the three-phase induction motor and the actual rotation frequency of the three-phase induction motor.
An abnormality detection method for a rotating machine system according to a third aspect of the present invention that meets the above-described object is characterized in that an abnormality occurring in a rotating machine system using a three-phase induction motor as a drive source is an analysis result of an operating current signal of the three-phase induction motor. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a sideband wave of the current spectrum peak of the power supply frequency existing at a frequency position away from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. A simple diagnosis with a process,
Moreover, the characteristic frequency is a gear meshing frequency defined as the product of the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor and the actual rotation frequency of the three-phase induction motor. .
According to the fourth aspect of the invention, the abnormality detection method for a rotating machine system according to the fourth aspect of the present invention relates to an abnormality generated in a rotating machine system using a three-phase induction motor as a drive source, and an analysis result of an operating current signal of the three-phase induction motor. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a sideband wave of the current spectrum peak of the power supply frequency existing at a frequency position away from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. A simple diagnosis with a process,
Moreover, the characteristic frequency is a gear pole frequency defined as the product of the pole passing frequency of the three-phase induction motor and the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor.
According to the fifth aspect of the invention, the abnormality detection method for a rotating machine system according to the fifth aspect of the present invention relates to an abnormality generated in a rotating machine system using a three-phase induction motor as a drive source, and an analysis result of an operating current signal of the three-phase induction motor. An abnormality detection method for a rotating machine system detected from
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a sideband wave of the current spectrum peak of the power supply frequency existing at a frequency position away from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. A simple diagnosis with a process,
In addition, the characteristic frequency is a product of a moving ratio of a belt moving amount with respect to a total length of the belt accompanying one rotation of a pulley attached to a rotating shaft of a rotor of the three-phase induction motor and an actual rotation frequency of the three-phase induction motor. Belt rotation frequency defined as

前記目的に沿う第６の発明に係る回転機械系の異常監視方法は、第１〜第５の発明に係る回転機械系の異常検知方法のいずれか１又は２以上を組み合わせた回転機械系の異常監視方法であって、
複数の前記簡易診断を繰り返す劣化傾向管理工程と、
複数の前記簡易診断の少なくとも一つで異常を検知した際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断工程とを有する。 Sixth anomaly monitoring method of a rotary machine system according to the invention along the object, rotating mechanical system abnormalities that combine any one or more of the rotating mechanical system abnormality detection method according to the first to fifth invention A monitoring method,
A deterioration tendency management step that repeats the plurality of simple diagnoses;
A precision abnormality diagnosis step of identifying an abnormality type and an abnormality location in the rotating machine system based on the deterioration parameter reaching the deterioration determination reference value when an abnormality is detected in at least one of the plurality of simple diagnoses; Have

前記目的に沿う第７の発明に係る回転機械系の異常診断装置は、第６の発明に係る回転機械系の異常監視方法に使用する回転機械系の異常監視装置であって、
前記三相誘導電動機の稼働時電流信号から前記劣化パラメータを求める劣化パラメータ算出部と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と前記劣化判定基準値を比較する簡易異常診断部と、
前記簡易異常診断部で前記回転機械系に異常が検知された際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断部とを有している。 A rotating machine system abnormality diagnosis device according to a seventh aspect of the invention that meets the above-mentioned object is a rotating machine system abnormality monitoring device used in the rotating machine system abnormality monitoring method according to the sixth invention,
A deterioration parameter calculating unit for obtaining the deterioration parameter from an operating current signal of the three-phase induction motor;
While recording the value of the deterioration parameter, a simple abnormality diagnosis unit that compares the value of the deterioration parameter and the deterioration determination reference value,
Precise abnormality diagnosis that identifies the type of abnormality and the abnormality location in the rotating machine system based on the deterioration parameter that has reached the deterioration determination reference value when an abnormality is detected in the rotating machine system by the simple abnormality diagnosis unit Part.

第１〜第５の発明に係る回転機械系の異常検知方法、第６の発明に係る回転機械系の異常監視方法、及び第７の発明に係る回転機械系の異常診断装置においては、回転機械系の駆動源である三相誘導電動機の稼働時電流信号の高速フーリエ変換から得られる電流スペクトルの中から、回転機械系の異常に関連する特徴周波数の側帯波を抽出して回転機械系の劣化パラメータの値を算出し、劣化判定基準値とを比較することにより異常を検知するので、回転機械系に発生する異常に関する理論的知識の有無、及び回転機械系の保全経験の有無に左右されずに、回転機械系の異常箇所（異常が発生した機器）を正確に特定することができる。
そして、回転機械系の異常の状態が劣化パラメータの値として示されるので、回転機械系（機器）に発生している異常の程度に応じた対応（例えば、異常が発生した機器に対して、直ちに入替え（交換）又は補修が必要か、当面は経過観察だけで十分か等）を執ることが可能になる。 In the rotating machine system abnormality detection method according to the first to fifth inventions, the rotating machine system abnormality monitoring method according to the sixth invention, and the rotating machine system abnormality diagnosis device according to the seventh invention, the rotating machine Degradation of rotating machinery system by extracting sidebands of characteristic frequency related to abnormalities in rotating machinery system from current spectrum obtained from fast Fourier transform of operating current signal of three-phase induction motor which is the driving source of the system Abnormality is detected by calculating the parameter value and comparing it with the degradation criterion value, so it does not depend on the presence or absence of theoretical knowledge about the abnormality that occurs in rotating machinery systems and the presence or absence of maintenance experience in rotating machinery systems. In addition, it is possible to accurately identify an abnormal part (device in which an abnormality has occurred) in the rotating machine system.
Then, since the state of abnormality of the rotating machine system is indicated as the value of the deterioration parameter, a response corresponding to the degree of abnormality occurring in the rotating machine system (device) (for example, immediately against the device in which the abnormality has occurred) Whether replacement (replacement) or repair is necessary, whether or not follow-up is sufficient for the time being, etc.).

本発明の一実施の形態に係る回転機械系の異常監視装置のブロック図である。1 is a block diagram of an abnormality monitoring device for a rotating machine system according to an embodiment of the present invention. ３相電流バランスＩｕｂの劣化傾向管理データと推定した期待使用寿命の説明図である。It is explanatory drawing of the estimated service life estimated with the deterioration tendency management data of three-phase current balance Iub . 軸系電流比率Ｌｓｈａｆｔの劣化傾向管理データと推定した期待使用寿命の説明図である。It is explanatory drawing of the estimated service life estimated with the deterioration tendency management data of the shaft system current ratio Lshaft . 本発明の一実施の形態に係る回転機械系の異常検知方法及び異常監視方法の流れ図である。It is a flowchart of the abnormality detection method and abnormality monitoring method of the rotating machine system which concern on one embodiment of this invention. 電源周波数の電流スペクトルピークの側帯波の説明図である。It is explanatory drawing of the sideband of the current spectrum peak of a power supply frequency.

続いて、添付した図面を参照しつつ、本発明を具体化した実施の形態につき説明し、本発明の理解に供する。
図１に示すように、本発明の一実施の形態に係る回転機械系の異常監視装置１０は、回転機械系１１の駆動源である三相誘導電動機１２の稼働時電流信号の解析結果から、回転機械系１１の総合的な状態や、回転機械系１１の機械的構造に起因して発生する個別的な状態をそれぞれ定量的に評価する劣化パラメータを求める劣化パラメータ算出部１３と、劣化パラメータの値を記録すると共に、求めた劣化パラメータの値と劣化判定基準値を比較する簡易異常診断部１４と、簡易異常診断部１４で回転機械系１１に異常が検知された際に、劣化判定基準値に達した劣化パラメータに基づいて異常の種類と回転機械系１１における異常箇所を特定する精密異常診断部１５とを有している。以下、詳細に説明する。 Next, embodiments of the present invention will be described with reference to the accompanying drawings for understanding of the present invention.
As shown in FIG. 1, the abnormality monitoring apparatus 10 for a rotating machine system according to an embodiment of the present invention is based on the analysis result of the current signal during operation of the three-phase induction motor 12 that is a drive source of the rotating machine system 11. A deterioration parameter calculation unit 13 for obtaining deterioration parameters for quantitatively evaluating the overall state of the rotating machine system 11 and the individual states generated due to the mechanical structure of the rotating machine system 11; The simple abnormality diagnosis unit 14 that records the value and compares the obtained deterioration parameter value with the deterioration determination reference value, and when the abnormality is detected in the rotating machine system 11 by the simple abnormality diagnosis unit 14, the deterioration determination reference value And a precise abnormality diagnosis unit 15 that identifies the type of abnormality and the abnormal part in the rotating machine system 11 based on the deterioration parameter that has reached Details will be described below.

劣化パラメータ算出部１３は、回転機械系１１の電気室（制御盤）から三相誘導電動機１２に電力を供給する三相毎の電源ケーブ１２ａに流れる稼働時電流信号を検出する電流検出器１６（例えば、クランプ式電流センサー）と、電流検出器１６で測定した稼働時電流信号をデジタル信号に変換するＡ／Ｄ変換器１７と、Ａ／Ｄ変換器１７から出力された稼働時電流信号を処理する処理ユニット１８とを有している。 The deterioration parameter calculation unit 13 is a current detector 16 (detecting an operating current signal flowing through the power cable 12a for each of the three phases that supplies power to the three-phase induction motor 12 from the electric room (control panel) of the rotating machine system 11. For example, a clamp-type current sensor), an A / D converter 17 that converts an operating current signal measured by the current detector 16 into a digital signal, and an operating current signal output from the A / D converter 17 is processed. Processing unit 18.

そして、処理ユニット１８には、回転機械系１１の状態を総合的に評価する劣化パラメータである電流情報量ＫＩを算出する電流情報量算出手段１９と、回転機械系１１の負荷変動状況を評価する劣化パラメータである電流実効値Ｉｒｍｓを算出する電流実効値算出手段２０と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の３相電流バランスＩｕｂを算出する３相電流バランス算出手段２１と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の電流単調波比率ｉｄｉｓを算出する電流単調波比率算出手段２２と、電源品質又は三相誘導電動機１２の固定子及びインバータの劣化状況を評価する劣化パラメータである稼働時電流信号の電流全調波比率Ｉｄｉｓを算出する電流全調波比率算出手段２３が設けられている。ここで、処理ユニット１８には、更に、Ａ／Ｄ変換器１７から出力された稼働時電流信号を高速フーリエ変換（周波数解析の一例）する高速フーリエ変換器２４が設けられており、電流単調波比率算出手段２２と電流全調波比率算出手段２３には、高速フーリエ変換器２４から出力されるスペクトルデータ（周波数と対数変換した電流スペクトルの関係を示すデータ）が入力される。
なお、電流情報量ＫＩ、電流実効値Ｉｒｍｓ、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓの各劣化パラメータ（これらの劣化パラメータを総称して第１種劣化パラメータという）の値は、回転機械系１１の劣化の進行に伴って上昇する特徴を有する。 The processing unit 18 evaluates the current information amount calculation means 19 for calculating the current information amount KI, which is a deterioration parameter for comprehensively evaluating the state of the rotating machine system 11, and the load fluctuation state of the rotating machine system 11. Current effective value calculation means 20 for calculating current effective value I rms which is a deterioration parameter, and three phases of operating current signal which is a deterioration parameter for evaluating the power supply quality or the deterioration status of the stator and inverter of three-phase induction motor 12 Three-phase current balance calculating means 21 for calculating the current balance I ub , and a current monotone ratio i dis of the operating current signal which is a deterioration parameter for evaluating the power supply quality or the deterioration state of the stator and inverter of the three-phase induction motor 12 Current monoharmonic ratio calculating means 22 for calculating the power supply quality or the deterioration of the stator and inverter of the three-phase induction motor 12 Current total harmonic ratio calculating means 23 which calculates the current total harmonic ratio I dis operating at current signals is parameter. Here, the processing unit 18 is further provided with a fast Fourier transformer 24 for performing a fast Fourier transform (an example of frequency analysis) on the operating current signal output from the A / D converter 17, and a current monotone wave. Spectrum data (data indicating the relationship between frequency and logarithmically converted current spectrum) output from the fast Fourier transformer 24 is input to the ratio calculating means 22 and the current total harmonic ratio calculating means 23.
It should be noted that each deterioration parameter of current information amount KI, current effective value I rms , three-phase current balance I ub , current monoharmonic ratio i dis , and current total harmonic ratio I dis (these deterioration parameters are collectively referred to as first parameter). The value of the seed deterioration parameter is characterized by increasing as the rotation of the rotating machine 11 progresses.

ここで、電流情報量算出手段１９では、電流情報量ＫＩを、正常状態の稼働時電流信号の波形から求めた振幅確率密度分布を参照分布、監視状態の稼働時電流信号の振幅確率密度分布をテスト分布と定義した場合、振幅ｘの電流信号の参照分布とテスト分布をそれぞれｆｒ（ｘ）、ｆｔ（ｘ）として、ｆｒ（ｘ）ｌｏｇ［ｆｒ（ｘ）／ｆｔ（ｘ）］からなる評価式を、ｘに関して−∞から∞の範囲で積分することにより求めている。なお、正常状態の稼働時電流信号には、三相誘導電動機１２の定格電流の正弦波信号波形を用いることができる。
電流実効値算出手段２０では、電流実効値Ｉｒｍｓを、ｉを稼働時電流信号のサンプリング値、Ｎをサンプリングポイント数として、｛（ｉ１ ２＋ｉ２ ２＋・・・＋ｉＮ ２）／Ｎ｝１／２から求めている。 Here, the current information amount calculation means 19 uses the amplitude probability density distribution obtained from the waveform of the operating current signal in the normal state as the reference distribution and the amplitude probability density distribution of the operating current signal in the monitored state as the current information amount KI. When the test distribution is defined, let f r (x) and f t (x) be the reference distribution and the test distribution of the current signal of amplitude x, respectively, f r (x) log [f r (x) / f t (x )] Is obtained by integrating x with respect to x in the range of -∞ to ∞. Note that a sine wave signal waveform of the rated current of the three-phase induction motor 12 can be used as the operating current signal in the normal state.
In the current effective value calculation means 20, {(i 1 2 + i 2 2 +... + I N 2 ) / N, where i is the current effective value I rms , i is the sampling value of the current signal during operation, and N is the number of sampling points. } Calculated from 1/2 .

また、稼働時電流を３相同時に計測した場合の３相電流バランス算出手段２１では、３相電流バランスＩｕｂを、稼働時電流信号の３相の電流実効値Ｉｕ、Ｉｖ、Ｉｗの中の最大値と最小値の差ｍａｘ（Ｉｕ，Ｉｖ，Ｉｗ）−ｍｉｎ（Ｉｕ，Ｉｖ，Ｉｗ）を、最大値と最小値の和ｍａｘ（Ｉｕ，Ｉｖ，Ｉｗ）＋ｍｉｎ（Ｉｕ，Ｉｖ，Ｉｗ）で除して求めている。
電流単調波比率算出手段２２では、電流単調波比率ｉｄｉｓを、稼働時電流信号の高調波実効値の中で、予め設定した次数ｎ内にある最大値ｍａｘｉｎを，稼働時電流信号の電源周波数実効値Ｉ１で除して求めている。
電流全調波比率算出手段２３では、電流全調波比率Ｉｄｉｓを、稼働時電流信号の予め設定した次数ｎまでの各高調波実効値の二乗和の平方根（Ｉ２ ２＋Ｉ３ ２＋・・・＋Ｉｎ ２）１／２を、働時電流信号の電源周波数実効値Ｉ１で除して求めている。 Further, in the three-phase current balance calculation means 21 when the operating current is measured simultaneously for the three phases, the three-phase current balance I ub is calculated from the three-phase effective current values I u , I v , and I w of the operating current signal. The difference between the maximum value and the minimum value max (I u , I v , I w ) −min (I u , I v , I w ) is calculated as the sum max (I u , I v , I w ). It is obtained by dividing by w ) + min (I u , I v , I w ).
In current monotonic wave ratio calculation unit 22, a current monotonic wave ratio i dis, in harmonic effective value of operating time of the current signal, the maximum value maxi n in preset the order n, the operating time of the current signal power It is calculated by dividing the frequency effective value I 1.
In the current total harmonic ratio calculating means 23, the current total harmonic ratio I dis is calculated from the square root (I 2 2 + I 3 2 + ··) of the square sum of each harmonic effective value up to the preset order n of the current signal during operation. ... + I n 2 ) 1/2 is divided by the power supply frequency effective value I 1 of the working current signal.

また、処理ユニット１８には、高速フーリエ変換器２４から得られた電流スペクトルを対数変換して形成したスペクトルデータ（周波数と対数変換した電流スペクトルの関係を示すデータ）を用いて回転機械系１１の回転機械軸系の負荷状況を評価する劣化パラメータである軸系電流比率Ｌｓｈａｆｔを算出する軸系電流比率算出手段２５と、三相誘導電動機１２の回転子の劣化状況を評価するポール通過電流比率Ｌｐｏｌｅを算出するポール通過電流比率算出手段２６と、三相誘導電動機１２の負荷トルクと回転子の実回転数の変化を推測する劣化パラメータである回転子すべり電流比率Ｌｒｓを算出する回転子すべり電流比率算出手段２７と、三相誘導電動機１２により駆動される回転機械系１１が流体回転機械の場合、流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生状況を推測する劣化パラメータであるブレード通過電流比率Ｌｂｐを算出するブレード通過電流比率算出手段２８とを有している。 Further, the processing unit 18 uses the spectrum data (data indicating the relationship between the frequency and the logarithmically converted current spectrum) formed by logarithmically converting the current spectrum obtained from the fast Fourier transformer 24. A shaft system current ratio calculating means 25 for calculating a shaft system current ratio L shift which is a deterioration parameter for evaluating the load condition of the rotating machine shaft system, and a pole passing current ratio for evaluating the deterioration condition of the rotor of the three-phase induction motor 12 A pole passing current ratio calculating means 26 for calculating L pole , and a rotor for calculating a rotor slip current ratio L rs which is a deterioration parameter for estimating changes in the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor. When the rotary machine system 11 driven by the slip current ratio calculating means 27 and the three-phase induction motor 12 is a fluid rotary machine, the fluid rotary machine And a blade passing current ratio calculation means 28 for calculating a blade passing current ratio L bp is a deterioration parameter to estimate the occurrence of provided with blades and casing wear and corrosion.

更に、処理ユニット１８には、三相誘導電動機１２により駆動される回転機械系１１が歯車装置の場合（三相誘導電動機１２の回転子の回転軸に取付けられた歯車の一例）、歯車の摩耗、潤滑不良、折損等の異常を推測する劣化パラメータである噛合い電流比率Ｌｇｚを算出する噛合い電流比率算出手段２９と、歯車の摩耗、潤滑不良、折損等の異常を推測する劣化パラメータであるギアポール電流比率Ｌｇｐを算出するギアポール電流比率算出手段２９ａと、三相誘導電動機１２により駆動される回転機械系１１がプーリーベルト駆動系の場合（三相誘導電動機１２の回転子の回転軸に取付けられたプーリーの一例）、プーリーのミスアラインメントとベルトの張り具合の異常を推測する劣化パラメータであるベルト回転電流比率Ｌｂｒを算出するベルト回転電流比率算出手段３０が設けられている。
なお、軸系電流比率Ｌｓｈａｆｔ、ポール通過電流比率Ｌｐｏｌｅ、回転子すべり電流比率Ｌｒｓ、ブレード通過電流比率Ｌｂｐ、噛合い電流比率Ｌｇｚ、ギアポール電流比率Ｌｇｐ、及びベルト回転電流比率Ｌｂｒの各劣化パラメータ（これらの劣化パラメータを総称して第２種劣化パラメータという）の値は、回転機械系１１の劣化の進行に伴って低下する特徴を有する。 Further, in the processing unit 18, when the rotating machine system 11 driven by the three-phase induction motor 12 is a gear device (an example of a gear attached to the rotating shaft of the rotor of the three-phase induction motor 12), the gear wears. A meshing current ratio calculating means 29 for calculating a meshing current ratio L gz which is a deterioration parameter for estimating abnormalities such as poor lubrication and breakage, and a deterioration parameter for estimating abnormalities such as gear wear, poor lubrication and breakage. When the gear pole current ratio calculating means 29a for calculating a certain gear pole current ratio L gp and the rotating machine system 11 driven by the three-phase induction motor 12 are pulley belt drive systems (on the rotating shaft of the rotor of the three-phase induction motor 12) an example of a mounted pulley), a belt rotating current ratio L br a deterioration parameter to estimate the abnormality of tension of misalignment and belt pulleys Belt rotating current ratio calculation means 30 for calculating is provided.
In addition, the shaft system current ratio L shift , the pole passing current ratio L pole , the rotor sliding current ratio L rs , the blade passing current ratio L bp , the meshing current ratio L gz , the gear pole current ratio L gp , and the belt rotation current ratio L The value of each deterioration parameter of br (these deterioration parameters are collectively referred to as a second-type deterioration parameter) has a characteristic of decreasing as the deterioration of the rotating machine system 11 progresses.

ここで、軸系電流比率算出手段２５では、軸系電流比率Ｌｓｈａｆｔを、スペクトルデータから、電源周波数の電流スペクトルピーク（電源基本周波数の電流スペクトルピーク又は電源高調波周波数の電流スペクトルピーク）の側帯波であって、三相誘導電動機１２の実回転周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、実回転周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク高さ２０ｌｏｇＩｓｈａｆｔと、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｓｈａｆｔ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｓｈａｆｔ）として評価している。ここで、Ｉｓｈａｆｔ及びＩｌｉｎｅは、それぞれ高速フーリエ変換器２４から出力される実回転周波数に起因する側帯波及び電源周波数の電流スペクトルのピーク値である。 Here, in the shaft system current ratio calculation means 25, the shaft system current ratio Lshaft is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency (current spectrum peak of the power supply fundamental frequency or current spectrum peak of the power supply harmonic frequency). Sidebands caused by the actual rotational frequency of the three-phase induction motor 12, that is, frequency positions separated from the low frequency side and the high frequency side by the actual rotational frequency around the current spectrum peak of the power supply frequency. one of the peak values of the sidebands present in, for example, determined the maximum peak height 20LogI, shaft, the peak height 20LogI line current spectral peak of the power frequency, 20logI line -20logI shaft, i.e., 20 log (I line / I shaft) has been evaluated as a . Here, Ishaft and Iline are the peak values of the current spectrum of the sideband and power supply frequency resulting from the actual rotational frequency output from the fast Fourier transformer 24, respectively.

ポール通過電流比率算出手段２６では、ポール通過電流比率Ｌｐｏｌｅを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のポール通過周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ポール通過周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｐｏｌｅ（Ｉｐｏｌｅは、高速フーリエ変換器２４から出力されるポール通過周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｐｏｌｅ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｐｏｌｅ）として評価している。 In the pole passing current ratio calculating means 26, the pole passing current ratio L pole is obtained from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the pole passing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated by the pole passing frequency on the low frequency side and on the high frequency side, for example, the maximum peak value 20 logI pole ( I pole is the peak value of the current spectrum of the sideband wave caused by the pole passing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI pole. That is, 20 log (I line / I pole ).

回転子すべり電流比率算出手段２７では、回転子すべり電流比率Ｌｒｓを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２の回転子バーすべり周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、回転子バーすべり周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｒｓ（Ｉｒｓｏｌｅは、高速フーリエ変換器２４から出力される回転子バーすべり周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｒｓ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｒｓ）として評価している。 In the rotor slip current ratio calculation means 27, the rotor slip current ratio L rs is a sideband of the current spectrum peak of the power supply frequency from the spectrum data and is caused by the rotor bar slip frequency of the three-phase induction motor 12. Sideband, that is, the peak value of any one of the sidebands present at frequency positions separated from the low frequency side and the high frequency side by the rotor bar slip frequency around the current spectrum peak of the power supply frequency, for example, Maximum peak value 20logI rs (I rsol is the peak value of the current spectrum of the sideband due to the rotor bar slip frequency output from the fast Fourier transformer 24), and the peak height 20logI line of the current spectrum peak at the power supply frequency. look, 20logI line -20logI rs, ie, 20log Is evaluated as I line / I rs).

ブレード通過電流比率算出手段２８では、ブレード通過電流比率Ｌｂｐを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のブレード通過周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ブレード通過周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｂｐ（Ｉｂｐは、高速フーリエ変換器２４から出力されるブレード通過周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｂｐ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｐ）として評価している。 In the blade passing current ratio calculating means 28, the blade passing current ratio L bp is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the blade passing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the blade passing frequency, for example, the maximum peak value 20 log I bp ( I bp is the peak value of the current spectrum of the sideband wave caused by the blade passing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI bp , ie, 20log (I line / I has been evaluated as a p).

噛合い電流比率算出手段２９では、噛合い電流比率Ｌｇｚを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２の噛合い周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、噛合い周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｇｚ（Ｉｇｚは、高速フーリエ変換器２４から出力される噛合い周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｇｚ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｚ）として評価している。
また、ギアポール電流比率算出手段２９ａでは、ギアポール電流比率Ｌｇｐを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のギアポール周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、三相誘導電動機１２のポール通過周波数と、三相誘導電動機１２の回転子の回転軸に取付けられた歯車の歯数との積として定義されるギアポール周波数ｆｇｐ分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｇｐ（Ｉｇｐは、高速フーリエ変換器２４から出力されるギアポール周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｇｐ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｐ）として評価している。 In the meshing current ratio calculation means 29, the meshing current ratio L gz is determined from the spectrum data as a sideband of the current spectrum peak of the power supply frequency, which is a sideband caused by the meshing frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the meshing frequency, for example, the maximum peak value 20 logI gz ( I gz is the peak value of the current spectrum peak of the sideband due to the meshing frequency output from the fast Fourier transformer 24) and the peak height 20logI line of the current spectrum peak of the power supply frequency, and 20logI line- 20logI gz That is, it is evaluated as 20 log (I line / I gz ).
Further, in the gear pole current ratio calculating means 29a, the gear pole current ratio L gp is obtained from the spectrum data as a side band of the current spectrum peak of the power supply frequency, and the side band caused by the gear pole frequency of the three-phase induction motor 12, that is, A gear pole frequency f defined as the product of the pole passing frequency of the three-phase induction motor 12 and the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor 12 around the current spectrum peak of the power supply frequency. gp amount corresponding one of the peak values of the sidebands present in the frequency position away respectively to the low frequency side and high frequency side, for example, the maximum peak value 20logI gp (I gp is output from the fast Fourier transformer 24 Sideband current spectrum peak value due to gear pole frequency) and current spectrum of power frequency The peak heights 20LogI line peak, 20logI line -20logI gp, i.e., is evaluated as 20log (I line / I gp) .

ベルト回転電流比率算出手段３０では、ベルト回転電流比率Ｌｂｒを、スペクトルデータから、電源周波数の電流スペクトルピークの側帯波であって、三相誘導電動機１２のベルト回転周波数に起因する側帯波、即ち、電源周波数の電流スペクトルピークを中心として、ベルト回転周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波のいずれか一方のピーク値、例えば、最大ピーク値２０ｌｏｇＩｂｒ（Ｉｂｒは、高速フーリエ変換器２４から出力されるベルト回転周波数に起因する側帯波の電流スペクトルのピーク値）と、電源周波数の電流スペクトルピークのピーク高さ２０ｌｏｇＩｌｉｎｅを求め、２０ｌｏｇＩｌｉｎｅ−２０ｌｏｇＩｂｒ、即ち、２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｒ）として評価している。 In the belt rotation current ratio calculation means 30, the belt rotation current ratio L br is determined from the spectrum data as a side band of the current spectrum peak of the power supply frequency, which is a side band caused by the belt rotation frequency of the three-phase induction motor 12, that is, , Centering on the current spectrum peak of the power supply frequency, the peak value of any one of the sidebands present at the frequency positions separated from the low frequency side and the high frequency side by the belt rotation frequency, for example, the maximum peak value 20 logI br ( I br obtains a fast Fourier transformer peak current spectrum sidebands due to belt rotation frequency output from 24), the peak height 20LogI line current spectral peak of the power frequency, 20logI line -20logI br That is, 20 log (I line / I br ) It is evaluated.

なお、処理ユニット１８には、電流情報量算出手段１９、電流実効値算出手段２０、３相電流バランス算出手段２１、電流単調波比率算出手段２２、電流全調波比率算出手段２３、高速フーリエ変換器２４、軸系電流比率算出手段２５、ポール通過電流比率算出手段２６、回転子すべり電流比率算出手段２７、ブレード通過電流比率算出手段２８、噛合い電流比率算出手段２９、ギアポール電流比率算出手段２９ａ、ベルト回転電流比率算出手段３０の中から、回転機械系１１の機械的構造に応じて選択された劣化パラメータの算出に必要な算出手段を稼働状態に設定する劣化パラメータ選定手段３１が設けられている。 The processing unit 18 includes a current information amount calculation unit 19, a current effective value calculation unit 20, a three-phase current balance calculation unit 21, a current monoharmonic ratio calculation unit 22, a current total harmonic ratio calculation unit 23, and a fast Fourier transform. 24, shaft system current ratio calculating means 25, pole passing current ratio calculating means 26, rotor slip current ratio calculating means 27, blade passing current ratio calculating means 28, meshing current ratio calculating means 29, gear pole current ratio calculating means 29a A deterioration parameter selection means 31 is provided for setting the calculation means necessary for calculating the deterioration parameter selected from the belt rotation current ratio calculation means 30 according to the mechanical structure of the rotating machine system 11 to the operating state. Yes.

簡易異常診断部１４は、劣化パラメータの値から回転機械系１１の異常を検知（異常が発生したか否かを判定）する際に使用する劣化判定基準値を保存しているデータベース３２と、劣化パラメータ算出部１３から取得した劣化パラメータの値と劣化パラメータに対応する劣化判定基準値をデータベース３２から取得して比較して回転機械系１１の状態を診断する簡易診断手段３３とを有している。
ここで、劣化判定基準値は、例えば、回転機械系１１を想定したモデル回転機械系を用いた破壊試験や、従来の保守管理実績に基づいて設定する。なお、簡易診断手段３３では、第１種劣化パラメータに対しては、第１種劣化パラメータの値が設定した劣化判定基準値以上となる場合、異常が発生したと判定する。一方、第２種劣化パラメータに対しては、第２種劣化パラメータの値が設定した劣化判定基準値以下となる場合、異常が発生したと判定する。 The simple abnormality diagnosis unit 14 includes a database 32 storing a deterioration determination reference value used when detecting an abnormality (determining whether or not an abnormality has occurred) in the rotating machine system 11 from the value of the deterioration parameter, and deterioration. Simple diagnosis means 33 for diagnosing the state of the rotating machine system 11 by acquiring from the database 32 and comparing the deterioration parameter value acquired from the parameter calculation unit 13 with the deterioration determination reference value corresponding to the deterioration parameter. .
Here, the deterioration determination reference value is set based on, for example, a destructive test using a model rotating machine system assuming the rotating machine system 11 or a conventional maintenance management record. The simple diagnosis means 33 determines that an abnormality has occurred when the value of the first type deterioration parameter is equal to or greater than the set deterioration determination reference value for the first type deterioration parameter. On the other hand, for the second type deterioration parameter, when the value of the second type deterioration parameter is equal to or less than the set deterioration determination reference value, it is determined that an abnormality has occurred.

更に、簡易異常診断部１４は、劣化パラメータ算出部１３から取得した劣化パラメータの値を時系列的に保存する劣化傾向管理手段３４と、劣化傾向管理手段３４に保存された劣化パラメータの値（劣化傾向管理データ）の経時変化挙動を示す近似関数を求め、劣化パラメータの値が劣化判定基準値に一致するまでの時間（期待使用寿命）を推定して表示する余寿命予測手段３５とを有している。なお、余寿命予測手段３５では、劣化パラメータ毎に、劣化判定基準値として危険判定基準値と注意判定基準値を設定している。劣化パラメータの値が、注意判定基準値に達すると当該パラメータに関する異常が発生していると判断し、危険判定基準値に達すると当該パラメータに関する異常により回転機械系１１が停止又は破損の危険があると判断する。劣化パラメータの値が注意判定基準値に対して予め設定した注意範囲に到達した際に、注意範囲内の劣化パラメータの値の経時変化から近似関数を求めている。図２に３相電流バランスＩｕｂの劣化傾向管理データと推定した期待使用寿命を、図３に軸系電流比率Ｌｓｈａｆｔの劣化傾向管理データと推定した期待使用寿命を示す。 Furthermore, the simple abnormality diagnosis unit 14 stores the deterioration parameter values acquired from the deterioration parameter calculation unit 13 in time series, and the deterioration parameter values stored in the deterioration tendency management unit 34 (deterioration). And a remaining life prediction means 35 that obtains an approximate function indicating a time-dependent change behavior of (trend management data) and estimates and displays the time (expected service life) until the value of the deterioration parameter matches the deterioration determination reference value. ing. The remaining life predicting means 35 sets a risk determination reference value and a caution determination reference value as the deterioration determination reference value for each deterioration parameter. When the value of the deterioration parameter reaches the caution determination reference value, it is determined that an abnormality relating to the parameter has occurred. When the deterioration parameter value reaches the danger determination reference value, the rotating machine system 11 may be stopped or damaged due to the abnormality relating to the parameter. Judge. When the value of the degradation parameter reaches the caution range set in advance with respect to the caution determination reference value, an approximate function is obtained from the change over time of the value of the degradation parameter within the caution range. FIG. 2 shows the estimated service life estimated as the deterioration tendency management data of the three-phase current balance Iub , and FIG. 3 shows the estimated service life estimated as the deterioration tendency management data of the shaft system current ratio Lshaft .

ここで、注意判定基準値は、例えば、回転機械系１１を想定したモデル回転機械系を用いた破壊試験や、従来の保守管理実績に基づいて設定され、第１種劣化パラメータの注意判定基準値は危険判定基準値より小さく、第２種劣化パラメータ注意判定基準値は危険判定基準値より大きくそれぞれ設定される。これによって、劣化パラメータの値が注意判定基準値に達していない場合は回転機械系１１の状態が正常であると、劣化パラメータの値が注意判定基準値と危険判定基準値の間に入る場合は回転機械系１１の状態が要注意であると、劣化パラメータの値が危険判定基準値に達した（第１種劣化パラメータでは値が危険判定基準値以上となる、第２種劣化パラメータでは値が危険判定基準値以下となる）場合は回転機械系１１の状態が危険であるとそれぞれ判定できる。 Here, the caution determination reference value is set based on, for example, a destructive test using a model rotating machine system assuming the rotating machine system 11 or a conventional maintenance management result, and the caution determination reference value of the first type deterioration parameter Is smaller than the danger judgment reference value, and the second type degradation parameter caution judgment reference value is set larger than the danger judgment reference value. Thereby, when the value of the deterioration parameter does not reach the caution determination reference value, if the state of the rotating machine system 11 is normal, the deterioration parameter value falls between the caution determination reference value and the danger determination reference value. If the state of the rotating machine system 11 is cautionary, the value of the deterioration parameter has reached the risk judgment reference value (the value is higher than the risk judgment reference value for the first type deterioration parameter, the value for the second type deterioration parameter is In the case of a risk determination reference value or less), it can be determined that the state of the rotating machine system 11 is dangerous.

精密異常診断部１５は、簡易異常診断部１４において、電流実効値Ｉｒｍｓ、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓ、軸系電流比率Ｌｓｈａｆｔ、ポール通過電流比率Ｌｐｏｌｅ、回転子すべり電流比率Ｌｒｓ、ブレード通過電流比率Ｌｂｐ、噛合い電流比率Ｌｇｚ、ギアポール電流比率Ｌｇｐ、及びベルト回転電流比率Ｌｂｒの値の中で少なくとも１つが劣化判定基準値に達した際に、劣化判定基準値に達した劣化パラメータに基づいて異常の種類と回転機械系１１における異常箇所を特定する。例えば、劣化判定基準値に達した劣化パラメータが電流実効値Ｉｒｍｓの場合は回転機械系１１に負荷変動が生じたと判定し、劣化判定基準値に達した劣化パラメータが３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、又は電流全調波比率Ｉｄｉｓの場合は回転機械系１１に供給される電源品質又は三相誘導電動機１２の固定子に劣化が生じたと判定する。 Precision abnormality diagnosing section 15, in the simple diagnosis unit 14, the current effective value I rms, 3-phase current balance I ub, current monotonic wave ratio i dis, and current total harmonic ratio I dis, shafting current ratio L, shaft, At least one of the values of the pole passing current ratio L pole , the rotor slip current ratio L rs , the blade passing current ratio L bp , the meshing current ratio L gz , the gear pole current ratio L gp, and the belt rotation current ratio L br is When the deterioration determination reference value is reached, the type of abnormality and the abnormal part in the rotating machine system 11 are specified based on the deterioration parameter that has reached the deterioration determination reference value. For example, when the deterioration parameter that has reached the deterioration determination reference value is the current effective value I rms , it is determined that a load fluctuation has occurred in the rotating machine system 11, and the deterioration parameter that has reached the deterioration determination reference value is the three-phase current balance I ub , In the case of the current monoharmonic ratio i dis or the current total harmonic ratio I dis , it is determined that the quality of the power supplied to the rotating machine system 11 or the stator of the three-phase induction motor 12 has deteriorated.

また、劣化判定基準値に達した劣化パラメータが軸系電流比率Ｌｓｈａｆｔの場合は、回転機械系１１の回転機械軸系の負荷に変化が生じたと推定され、軸系のミスアラインメント、アンバランス等の異常が考えられる。
劣化判定基準値に達した劣化パラメータがポール通過電流比率Ｌｐｏｌｅの場合は、三相誘導電動機１２の回転子に劣化が生じたと推定され、回転子バーの損傷等の異常が考えられる。劣化判定基準値に達した劣化パラメータが回転子すべり電流比率Ｌｒｓの場合は、三相誘導電動機１２の負荷トルクと回転子の実回転数が変化したと推測される。 Further, when the deterioration parameter that has reached the deterioration determination reference value is the shaft system current ratio L shaft , it is estimated that a change has occurred in the load of the rotating machine shaft system of the rotating machine system 11, and misalignment of the shaft system, unbalance, etc. An abnormality may be considered.
When the deterioration parameter that has reached the deterioration determination reference value is the pole passing current ratio L pole , it is estimated that the rotor of the three-phase induction motor 12 has deteriorated, and abnormality such as damage to the rotor bar is considered. When the deterioration parameter that has reached the deterioration determination reference value is the rotor slip current ratio L rs , it is estimated that the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor have changed.

劣化判定基準値に達した劣化パラメータがブレード通過電流比率Ｌｂｐの場合は、三相誘導電動機１２により駆動される流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生が推測される。
劣化判定基準値に達した劣化パラメータが噛合い電流比率Ｌｇｚ又はギアポール電流比率Ｌｇｐの場合は、三相誘導電動機１２により駆動される歯車装置の歯車の摩耗、潤滑不良、折損等の異常が推測される。劣化判定基準値に達した劣化パラメータがベルト回転電流比率Ｌｂｒの場合は、三相誘導電動機１２により駆動されるプーリーベルト駆動系のプーリーのミスアラインメントとベルトの張り具合の異常が推測される。 When the deterioration parameter that has reached the deterioration determination reference value is the blade passing current ratio L bp , it is estimated that the blades and casing provided in the fluid rotary machine driven by the three-phase induction motor 12 are worn or corroded.
When the deterioration parameter that has reached the deterioration determination reference value is the meshing current ratio L gz or the gear pole current ratio L gp , abnormalities such as gear wear, lubrication failure, breakage, etc. of the gear device driven by the three-phase induction motor 12 may occur. Guessed. When the deterioration parameter that has reached the deterioration determination reference value is the belt rotation current ratio Lbr , it is estimated that the pulley misalignment of the pulley belt drive system driven by the three-phase induction motor 12 and the belt tension are abnormal.

本発明の一実施の形態に係る回転機械系の異常監視装置１０を用いた回転機械系の異常監視方法は、例えば、回転機械系１１の総合的な状態を評価する劣化パラメータの値を求め、劣化パラメータの値が予め設定した第１の劣化判定基準値（注意判定基準値）に達した際に回転機械系１１の異常を検知する簡易診断を行う回転機械系の異常検知方法と、回転機械系１１の機械的構造に起因して発生する個別的な状態をそれぞれ定量的に評価する劣化パラメータの値を求め、劣化パラメータの値が予め設定した第１の劣化判定基準値（注意判定基準値）に達した際に回転機械系１１の異常を検知する簡易診断を行う複数の回転機械系の異常検知方法を組み合わせた回転機械系１１の異常監視方法であって、図４に示すように、複数の簡易診断を繰り返す劣化傾向管理工程と、複数の簡易診断の少なくとも一つで回転機械系１１の異常が検知され、劣化パラメータの値が予め設定した第２の劣化判定基準値（危険判定基準値）に達した際に、当該パラメータに基づいて異常の種類と回転機械系における異常箇所を特定する精密異常診断工程とを有する。以下、詳細に説明する。 The rotating machine system abnormality monitoring method using the rotating machine system abnormality monitoring apparatus 10 according to the embodiment of the present invention obtains, for example, the value of a degradation parameter for evaluating the overall state of the rotating machine system 11, An abnormality detection method for a rotating machine system for performing a simple diagnosis for detecting an abnormality of the rotating machine system 11 when the value of the deterioration parameter reaches a preset first deterioration determination reference value (attention determination reference value), and the rotating machine A deterioration parameter value that quantitatively evaluates each individual state caused by the mechanical structure of the system 11 is obtained, and a first deterioration determination reference value (attention determination reference value) in which the deterioration parameter value is preset. ) Is an abnormality monitoring method for the rotating machine system 11 that combines a plurality of rotating machine system abnormality detection methods for performing a simple diagnosis for detecting an abnormality of the rotating machine system 11, as shown in FIG. Multiple simple diagnoses An abnormality of the rotating machine system 11 is detected by at least one of the repeated deterioration tendency management process and a plurality of simple diagnoses, and the value of the deterioration parameter reaches a preset second deterioration determination reference value (risk determination reference value). A precise abnormality diagnosis process for identifying the type of abnormality and the abnormal part in the rotating machine system based on the parameters. Details will be described below.

（劣化傾向管理工程）
回転機械系１１の総合的な状態を評価する劣化パラメータによる簡易診断を行う回転機械系の異常検知方法では、先ず、三相誘導電動機１２の稼働時電流信号を、劣化パラメータ算出部１３の電流検出器１６で検出し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の電流情報量算出手段１９に入力して電流情報量ＫＩを算出する（Ｓ−２）。電流情報量ＫＩを、簡易異常診断部１４に入力し、電流情報量ＫＩの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）と比較する。また、電流情報量ＫＩを劣化傾向管理手段３４に保存し、余寿命予測手段３５では保存した電流情報量ＫＩを用いて電流情報量ＫＩの経時変化挙動を監視する（以上、Ｓ−３）。そして、電流情報量ＫＩが第２の劣化判定基準値（危険判定基準値）に達していない場合は簡易診断を繰り返す（Ｓ−４）。 (Deterioration tendency management process)
In the abnormality detection method for a rotating machine system that performs a simple diagnosis using a deterioration parameter that evaluates the overall state of the rotating machine system 11, first, an operating current signal of the three-phase induction motor 12 is used as a current detection of a deterioration parameter calculation unit 13. An operating current signal detected by the detector 16 and digitized by the A / D converter 17 is obtained (S-1). Next, the digitized operating current signal is input to the current information amount calculation means 19 of the processing unit 18 of the deterioration parameter calculation unit 13 to calculate the current information amount KI (S-2). The current information amount KI is input to the simple abnormality diagnosis unit 14 and compared with the first and second deterioration determination reference values (caution determination reference value and danger determination reference value) of the current information amount KI. Further, the current information amount KI is stored in the deterioration tendency management unit 34, and the remaining life prediction unit 35 monitors the temporal change behavior of the current information amount KI using the stored current information amount KI (S-3). If the current information amount KI does not reach the second deterioration determination reference value (danger determination reference value), the simple diagnosis is repeated (S-4).

回転機械系１１の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータによる簡易診断を行う回転機械系の異常検知方法では、先ず、回転機械系１１の機械的構造に基づいて劣化パラメータの選定を行う。例えば、回転機械系１１が三相誘導電動機１２により駆動される流体回転機械である場合、劣化パラメータとして、回転機械系１１の回転機械軸系の負荷状況を評価する軸系電流比率Ｌｓｈａｆｔ、三相誘導電動機１２の回転子の劣化状況を評価するポール通過電流比率Ｌｐｏｌｅ、三相誘導電動機１２の負荷トルクと実回転数の変化を推測する回転子すべり電流比率Ｌｒｓ、及び流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生状況を推測するブレード通過電流比率Ｌｂｐを選択する。 In the rotating machine system abnormality detection method for performing a simple diagnosis using a deterioration parameter for evaluating the individual state generated due to the mechanical structure of the rotating machine system 11, first, based on the mechanical structure of the rotating machine system 11. Select degradation parameters. For example, when the rotary machine system 11 is a fluid rotary machine driven by a three-phase induction motor 12, the shaft system current ratio Lshaft for evaluating the load status of the rotary machine shaft system of the rotary machine system 11 as the deterioration parameter, three The pole passing current ratio L pole for evaluating the deterioration state of the rotor of the phase induction motor 12, the rotor slip current ratio L rs for estimating the load torque and the actual rotation speed of the three-phase induction motor 12, and the fluid rotating machine The blade passing current ratio L bp for estimating the state of occurrence of wear and corrosion of the provided blade and casing is selected.

（軸系電流比率Ｌｓｈａｆｔによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して高速フーリエ変換を行って電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machine system that performs simple diagnosis by shaft system current ratio Lshaft )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculation unit 13 and subjected to fast Fourier transform to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを軸系電流比率算出手段２５に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の実回転周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する電源周波数の電流スペクトルピークの側帯波を抽出し、ピークの高い側帯波のピーク値２０ｌｏｇＩｓｈａｆｔを求め、第３工程では、ピーク値２０ｌｏｇＩｓｈａｆｔ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、軸系電流比率Ｌｓｈａｆｔを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｓｈａｆｔ）として算出する（Ｓ−６）。 In the second step, the obtained current spectrum is input to the shaft system current ratio calculating means 25, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. extract the actual rotational frequency of the current spectral peak of the power supply frequency present amount corresponding frequency position away respectively to the low frequency side and high frequency side (an example of a characteristic frequency) sideband, the peak value of the high peak sidebands 20LogI, shaft the calculated, in the third step, by using the peak value 20LogI line current spectrum peak of the peak value 20LogI, shaft and power frequency, calculates the shafting current ratio L, shaft as 20log (I line / I shaft) (S-6 ).

第４工程では、得られた軸系電流比率Ｌｓｈａｆｔを劣化パラメータとして劣化傾向管理手段３４に記録すると共に、軸系電流比率Ｌｓｈａｆｔの値と軸系電流比率Ｌｓｈａｆｔの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した軸系電流比率Ｌｓｈａｆｔを用いて軸系電流比率Ｌｓｈａｆｔの経時変化挙動を監視する（以上、Ｓ−３）。そして、軸系電流比率Ｌｓｈａｆｔが第２の劣化判定基準値（危険判定基準値）に達していない場合は軸系電流比率Ｌｓｈａｆｔによる簡易診断を繰り返し、軸系電流比率Ｌｓｈａｆｔが第２の劣化判定基準値（危険判定基準値）に達した場合は、軸系電流比率Ｌｓｈａｆｔで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the degradation tendency managing unit 34 shafting current ratio L, shaft obtained as deterioration parameter, a first shafting current ratio L, shaft value and shafting current ratio L, shaft, the second The deterioration judgment reference value (caution judgment reference value, danger judgment reference value) is compared. Further, to monitor the aging behavior of the shafting current ratio L, shaft with a shaft system current ratio L, shaft stored in remaining life prediction means 35 (or, S-3). The shafting current ratio L, shaft second deterioration determination reference value if not (risk determination reference value) reached repeats simplified diagnosis by shafting current ratio L, shaft, shafting current ratio L, shaft is in the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected at the shaft system current ratio L shift is input to the precise abnormality diagnosis unit 15 (S-4).

（ポール通過電流比率Ｌｐｏｌｅによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machinery system that performs simple diagnosis by pole passing current ratio L pole )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをポール通過電流比率算出手段２６に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のポール通過周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値２０ｌｏｇＩｐｏｌｅを求め、第３工程では、ピーク値２０ｌｏｇＩｐｏｌｅ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、ポール通過電流比率Ｌｐｏｌｅを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｐｏｌｅ）として算出する（Ｓ−６）。 In the second step, the obtained current spectrum is input to the pole passing current ratio calculating means 26, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. By extracting sidebands present at frequency positions separated by a pole passing frequency (an example of characteristic frequency) on the low frequency side and the high frequency side respectively, a peak value 20 logI pole of the high sideband wave is obtained. , using the peak value 20LogI line current spectrum peak of the peak value 20LogI pole and line frequency, calculates a pole passing current ratio L pole as 20log (I line / I pole) (S-6).

第４工程では、得られたポール通過電流比率Ｌｐｏｌｅを劣化傾向管理手段３４に記録すると共に、ポール通過電流比率Ｌｐｏｌｅの値とポール通過電流比率Ｌｐｏｌｅの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した軸系電流比率Ｌｐｏｌｅを用いてポール通過電流比率Ｌｐｏｌｅの経時変化挙動を監視する（以上、Ｓ−３）。そして、ポール通過電流比率Ｌｐｏｌｅが第２の劣化判定基準値（危険判定基準値）に達していない場合はポール通過電流比率Ｌｐｏｌｅによる簡易診断を繰り返し、ポール通過電流比率Ｌｐｏｌｅが第２の劣化判定基準値（危険判定基準値）に達した場合は、ポール通過電流比率Ｌｐｏｌｅで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, records the pole passing current ratio L pole obtained in the degradation tendency management unit 34, first, second deterioration determination reference value and the pole passing current ratio L pole pole passing current ratio L pole Compare the values (caution judgment standard value, danger judgment standard value). Further, the remaining life prediction means 35 monitors the temporal change behavior of the pole passing current ratio L pole using the stored shaft system current ratio L pole (S-3). Then, when the pole passing current ratio L pole has not reached the second deterioration determination reference value (risk determination reference value) repeating the simplified diagnosis by Paul passing current ratio L pole, pole passing current ratio L pole is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected with the pole passing current ratio L pole is input to the precise abnormality diagnosis unit 15 (S-4).

（回転子すべり電流比率Ｌｒｓによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Rotary machine system abnormality detection method for simple diagnosis by rotor slip current ratio L rs )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを回転子すべり電流比率算出手段２７に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の回転子バーすべり周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｒｓを求め、第３工程では、ピーク値２０ｌｏｇＩｒｓ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、回転子すべり電流比率Ｌｒｓを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｒｓ）として算出する（Ｓ−６）。
ここで、第２工程において、回転子バーすべり周波数は、三相誘導電動機１２の回転子バーの本数ｈと、三相誘導電動機１２のすべり周波数ｆｓ（三相誘導電動機１２の同期回転周波数ｆｘと実回転周波数ｆｒの差ｆｘ−ｆｒとして求める）との積ｈｆｓとして定義される。 In the second step, the obtained current spectrum is input to the rotor slip current ratio calculating means 27, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the three-phase induction motor 12 from the current spectrum. Sideband waves present at frequency positions that are separated from the low-frequency side and the high-frequency side by the rotor bar slip frequency (an example of the characteristic frequency), respectively, and the peak value I rs of the high-sideband sideband is obtained, 3 in the process, using the peak value 20LogI line current spectrum peak of the peak value 20LogI rs and power frequency, and calculates the rotor slip current ratio L rs as 20log (I line / I rs) (S-6).
Here, in the second step, the rotor bar slip frequency includes the number h of rotor bars of the three-phase induction motor 12 and the slip frequency f s of the three-phase induction motor 12 (synchronous rotation frequency f of the three-phase induction motor 12). It is defined as the product hf s and determined as the difference between f x -f r of x and the actual rotational frequency f r).

第４工程では、得られた回転子すべり電流比率Ｌｒｓを劣化傾向管理手段３４に記録すると共に、回転子すべり電流比率Ｌｒｓの値と回転子すべり電流比率Ｌｒｓの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した回転子すべり電流比率Ｌｒｓを用いて回転子すべり電流比率Ｌｒｓの経時変化挙動を監視する（以上、Ｓ−３）。そして、回転子すべり電流比率Ｌｒｓが第２の劣化判定基準値（危険判定基準値）に達していない場合は回転子すべり電流比率Ｌｒｓによる簡易診断を繰り返し、回転子すべり電流比率Ｌｒｓが第２の劣化判定基準値（危険判定基準値）に達した場合は、回転子すべり電流比率Ｌｒｓで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, it records the rotor slip current ratio L rs obtained in the degradation tendency managing unit 34, rotor slip current ratio L rs values and first rotor slip current ratio L rs, of the second The deterioration judgment reference value (caution judgment reference value, danger judgment reference value) is compared. Further, to monitor the aging behavior of the rotor slip current ratio L rs with rotor slip current ratio L rs stored in remaining life prediction means 35 (or, S-3). Then, when the rotor slip current ratio L rs has not reached the second deterioration determination reference value (risk determination reference value) repeating the simplified diagnosis by rotor slip current ratio L rs, the rotor sliding current ratio L rs When the second deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality has been detected at the rotor slip current ratio L rs is input to the precise abnormality diagnosis unit 15 (S-4).

（ブレード通過電流比率Ｌｂｐによる簡易診断を行う回転機械系の異常検知方法）
第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Abnormality detection method of rotating machine system that performs simple diagnosis by blade passing current ratio L bp )
In the first step, as shown in FIG. 4, the operating current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. A signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをブレード通過電流比率算出手段２８に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のブレード通過周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｂｐを求め、第３工程では、ピーク値２０ｌｏｇＩｂｐ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、回転子すべり電流比率Ｌｒｓを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｐ）として算出する（Ｓ−６）。
ここで、第２工程において、ブレード通過周波数は、流体回転機械に設けられたブレード数ｍと、三相誘導電動機１２の実回転周波数ｆｒの積ｍｆｒとして定義される。 In the second step, the obtained current spectrum is input to the blade passing current ratio calculation means 28, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. By extracting sideband waves that exist at frequency positions that are separated from the low frequency side and the high frequency side by the blade passing frequency (an example of the characteristic frequency), the peak value I bp of the high sideband wave is obtained. , using the peak value 20LogI line current spectrum peak of the peak value 20LogI bp and power frequency, and calculates the rotor slip current ratio L rs as 20log (I line / I bp) (S-6).
Here, in the second step, the blade pass frequency, a blade number m provided in the fluid rotary machine, is defined as the product mf r of the actual rotational frequency f r of the three-phase induction motor 12.

第４工程では、得られたブレード通過電流比率Ｌｂｐを劣化傾向管理手段３４に記録すると共に、ブレード通過電流比率Ｌｂｐの値とブレード通過電流比率Ｌｂｐの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存したブレード通過電流比率Ｌｂｐを用いてブレード通過電流比率Ｌｂｐの経時変化挙動を監視する（以上、Ｓ−３）。そして、ブレード通過電流比率Ｌｂｐが第２の劣化判定基準値（危険判定基準値）に達していない場合はブレード通過電流比率Ｌｂｐによる簡易診断を繰り返し、ブレード通過電流比率Ｌｂｐが第２の劣化判定基準値（危険判定基準値）に達した場合は、ブレード通過電流比率Ｌｂｐで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, the obtained blade passage current ratio L bp is recorded in the deterioration tendency management means 34, and the values of the blade passage current ratio L bp and the first and second deterioration judgment criteria of the blade passage current ratio L bp are recorded. Compare the values (caution judgment standard value, danger judgment standard value). Further, the remaining life predicting means 35 uses the stored blade passage current ratio Lbp to monitor the change with time of the blade passage current ratio Lbp (S-3). The blade passing current ratio L bp is if it does not reach the second deterioration determination reference value (risk determination reference value) Repeat simplified diagnosis by the blade passing current ratio L bp, blade passing current ratio L bp is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected at the blade passing current ratio L bp is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).

ここで、精密異常診断部１５に入力された劣化パラメータが軸系電流比率Ｌｓｈａｆｔの場合は、回転機械系１１の回転機械軸系の負荷に変化が生じたと推定され、軸系のミスアラインメント、アンバランス等の異常が考えられる。劣化パラメータがポール通過電流比率Ｌｐｏｌｅの場合は、三相誘導電動機１２の回転子に劣化が生じたと推定され、回転子バーの損傷等の異常が考えられる。劣化パラメータが回転子すべり電流比率Ｌｒｓの場合は、三相誘導電動機１２の負荷トルクと回転子の実回転数が変化したと推測される。劣化パラメータがブレード通過電流比率Ｌｂｐの場合は、三相誘導電動機１２により駆動される流体回転機械に設けられたブレード及びケーシングの摩耗や腐食の発生が推測される。 Here, when the deterioration parameter input to the precision abnormality diagnosis unit 15 is the shaft system current ratio Lshaft , it is estimated that a change has occurred in the load of the rotary machine shaft system of the rotary machine system 11, and the shaft system misalignment, Abnormalities such as unbalance are considered. When the deterioration parameter is the pole passing current ratio L pole , it is estimated that the rotor of the three-phase induction motor 12 has deteriorated, and abnormality such as damage to the rotor bar is considered. When the deterioration parameter is the rotor slip current ratio L rs , it is estimated that the load torque of the three-phase induction motor 12 and the actual rotational speed of the rotor have changed. When the deterioration parameter is the blade passage current ratio L bp , it is estimated that the blade and casing provided in the fluid rotary machine driven by the three-phase induction motor 12 are worn or corroded.

（劣化傾向管理工程）
なお、回転機械系１１が三相誘導電動機１２と接続する減速機の場合、ブレード通過電流比率Ｌｂｐの代わりに噛合い電流比率Ｌｇｚを選定し、回転機械系の異常検知方法として噛合い電流比率Ｌｇｚによる簡易診断を行う。即ち、第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Deterioration tendency management process)
When the rotating machine system 11 is a speed reducer connected to the three-phase induction motor 12, the meshing current ratio L gz is selected instead of the blade passing current ratio L bp , and the meshing current is detected as an abnormality detection method for the rotating machine system. A simple diagnosis is performed using the ratio L gz . That is, in the first step, as shown in FIG. 4, the current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. An hourly current signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルを噛合い電流比率算出手段２９に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２の歯車噛合い周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｇｚを求め、第３工程では、ピーク値２０ｌｏｇＩｇｚ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、噛合い電流比率Ｌｇｚを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｇｚ）として算出する（Ｓ−６）。
ここで、第２工程において、歯車噛合い周波数は、三相誘導電動機１２の回転子の回転軸に取付けられた歯車の歯数ｚと、三相誘導電動機１２の実回転周波数ｆｒとの積ｚｆｒとして定義される。 In the second step, the obtained current spectrum is input to the meshing current ratio calculating means 29, and the current spectrum peak of the power supply frequency of the three-phase induction motor 12 is centered on the current spectrum. A side step wave existing at a frequency position that is separated from the low frequency side and the high frequency side by the gear meshing frequency (an example of the characteristic frequency) is extracted, and the peak value I gz of the high side band wave is obtained. in using the peak value 20LogI line current spectrum peak of the peak value 20LogI gz and power frequency, to calculate a mesh current ratio L gz as 20log (I line / I gz) (S-6).
Here, in the second step, the frequency have gears meshed, the number of teeth z gear attached to the rotation shaft of the rotor of the three-phase induction motor 12, the product of the actual rotational frequency f r of the three-phase induction motor 12 defined as zf r .

第４工程では、得られた噛合い電流比率Ｌｇｚを劣化傾向管理手段３４に記録すると共に、噛合い電流比率Ｌｇｚの値と噛合い電流比率Ｌｇｚの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存した噛合い電流比率Ｌｇｚを用いて噛合い電流比率Ｌｇｚの経時変化挙動を監視する（以上、Ｓ−３）。そして、噛合い電流比率Ｌｇｚが第２の劣化判定基準値（危険判定基準値）に達していない場合は噛合い電流比率Ｌｇｚによる簡易診断を繰り返し、噛合い電流比率Ｌｇｚが第２の劣化判定基準値（危険判定基準値）に達した場合は、噛合い電流比率Ｌｇｚで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the meshes obtained had current ratio L gz deterioration trend management unit 34, first, second deterioration determination reference meshing current ratio L gz value and meshing current ratio L gz Compare the values (caution judgment standard value, danger judgment standard value). Further, to monitor the aging behavior of the current ratio L gz meshing with meshing current ratio L gz stored in remaining life prediction means 35 (or, S-3). The mesh current ratio L gz second deterioration determination reference value if not (risk determination reference value) reached repeats simplified diagnosis by meshing current ratio L gz, mesh current ratio L gz is second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected at the meshing current ratio L gz is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。
精密異常診断部１５に入力された劣化パラメータが噛合い電流比率Ｌｇｚの場合は、三相誘導電動機１２により駆動される歯車装置の歯車の摩耗、潤滑不良、折損等の異常が推測できる。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).
When the deterioration parameter input to the precision abnormality diagnosis unit 15 is the meshing current ratio L gz , abnormalities such as gear wear, lubrication failure, breakage, etc. of the gear device driven by the three-phase induction motor 12 can be estimated.

（劣化傾向管理工程）
また、回転機械系１１が三相誘導電動機１２により駆動されるベルト駆動回転機械の場合、ブレード通過電流比率Ｌｂｐの代わりにベルト回転電流比率Ｌｂｒを選定し、回転機械系の異常検知方法としてベルト回転電流比率Ｌｂｒによる簡易診断を行う。
即ち、第１工程では、図４に示すように、劣化パラメータ算出部１３の電流検出器１６で三相誘導電動機１２の稼働時電流信号を計測し、Ａ／Ｄ変換器１７によりデジタル化した稼働時電流信号を得る（Ｓ−１）。次いで、デジタル化した稼働時電流信号を、劣化パラメータ算出部１３の処理ユニット１８の高速フーリエ変換器２４に入力して電流スペクトルを求める（Ｓ−５）。 (Deterioration tendency management process)
Further, when the rotating machine system 11 is a belt-driven rotating machine driven by a three-phase induction motor 12, a belt rotating current ratio Lbr is selected instead of the blade passing current ratio Lbp , and an abnormality detection method for the rotating machine system is performed. A simple diagnosis is performed based on the belt rotation current ratio Lbr .
That is, in the first step, as shown in FIG. 4, the current signal of the three-phase induction motor 12 is measured by the current detector 16 of the deterioration parameter calculation unit 13 and digitized by the A / D converter 17. An hourly current signal is obtained (S-1). Next, the digitized operating current signal is input to the fast Fourier transformer 24 of the processing unit 18 of the deterioration parameter calculator 13 to obtain a current spectrum (S-5).

第２工程では、得られた電流スペクトルをベルト回転電流比率算出手段３０に入力し、電流スペクトルの中から、三相誘導電動機１２の電源周波数の電流スペクトルピークを中心とし、三相誘導電動機１２のベルト回転周波数（特徴周波数の一例）分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する側帯波を抽出し、ピークの高い側帯波のピーク値Ｉｂｒを求め、第３工程では、ピーク値２０ｌｏｇＩｂｒ及び電源周波数の電流スペクトルピークのピーク値２０ｌｏｇＩｌｉｎｅを用いて、ベルト回転電流比率Ｌｂｒを２０ｌｏｇ（Ｉｌｉｎｅ／Ｉｂｒ）として算出する（Ｓ−６）。
ここで、第２工程において、ベルト回転周波数は、三相誘導電動機１２の回転子の回転軸に設けられたプーリーの１回転に伴うベルト移動量のベルト全長に対する移動比率と、三相誘導電動機１２の実回転周波数の積として定義される。 In the second step, the obtained current spectrum is input to the belt rotation current ratio calculating means 30, and the current spectrum peak of the power frequency of the three-phase induction motor 12 is centered on the current spectrum, and the three-phase induction motor 12 extracts sidebands present in an amount corresponding to the low frequency side and the frequency position away respectively to the high frequency side (an example of a characteristic frequency) belt rotation frequency, we obtain the peak value I br for high peak sidebands, in the third step , using the peak value 20LogI line current spectrum peak of the peak value 20LogI br and power frequency, to calculate a belt rotating current ratio L br as 20log (I line / I br) (S-6).
Here, in the second step, the belt rotation frequency is determined based on the movement ratio of the belt movement amount with respect to the total belt length with one rotation of the pulley provided on the rotation shaft of the rotor of the three-phase induction motor 12, and the three-phase induction motor 12. Is defined as the product of the actual rotation frequency.

第４工程では、得られたベルト回転電流比率Ｌｂｒを劣化傾向管理手段３４に記録すると共に、ベルト回転電流比率Ｌｂｒの値とベルト回転電流比率Ｌｂｒの第１、第２の劣化判定基準値（注意判定基準値、危険判定基準値）とを比較する。また、余寿命予測手段３５では保存したベルト回転電流比率Ｌｂｒを用いてベルト回転電流比率Ｌｂｒの経時変化挙動を監視する（以上、Ｓ−３）。そして、ベルト回転電流比率Ｌｂｒが第２の劣化判定基準値（危険判定基準値）に達していない場合はベルト回転電流比率Ｌｂｒによる簡易診断を繰り返し、ベルト回転電流比率Ｌｂｒが第２の劣化判定基準値（危険判定基準値）に達した場合は、ベルト回転電流比率Ｌｂｒで異常が検知されたことを精密異常診断部１５に入力する（Ｓ−４）。 In the fourth step, and it records the obtained belt rotating current ratio L br degradation trend management unit 34, first, second deterioration determination reference of the belt rotating current ratio L br value and the belt rotating current ratio L br Compare the values (caution judgment standard value, danger judgment standard value). Further, to monitor the aging behavior of the belt rotating current ratio L br using belt rotating current ratio L br saved in remaining life prediction means 35 (or, S-3). And, if the belt rotating current ratio L br does not reach the second deterioration determination reference value (risk determination reference value) Repeat simplified diagnosis by the belt rotating current ratio L br, belt rotating current ratio L br is the second When the deterioration determination reference value (danger determination reference value) is reached, the fact that an abnormality is detected in the belt rotation current ratio Lbr is input to the precise abnormality diagnosis unit 15 (S-4).

（精密異常診断工程）
精密異常診断部１５には、簡易異常診断部１４において異常が検知された劣化パラメータの情報が入力されるので、入力された劣化パラメータの種類から、回転機械系１１で発生した異常の種類と回転機械系１１における異常箇所を特定し（Ｓ−７）、その結果を、例えば、表示器に表示する（Ｓ−８）。
精密異常診断部１５に入力された劣化パラメータがベルト回転電流比率Ｌｂｒの場合は、三相誘導電動機１２により駆動されるプーリーベルト駆動系のプーリーのミスアラインメントとベルトの張り具合及び摩耗の異常が推測できる。 (Precise abnormality diagnosis process)
Since the information on the deterioration parameter in which the abnormality is detected in the simple abnormality diagnosis unit 14 is input to the precise abnormality diagnosis unit 15, the type of abnormality generated in the rotating mechanical system 11 and the rotation are determined from the type of the input deterioration parameter. An abnormal part in the mechanical system 11 is specified (S-7), and the result is displayed on, for example, a display (S-8).
When the deterioration parameter input to the precision abnormality diagnosis unit 15 is the belt rotation current ratio Lbr , the pulley misalignment of the pulley belt drive system driven by the three-phase induction motor 12 and the belt tension and wear abnormality I can guess.

以上、本発明を、実施の形態を参照して説明してきたが、本発明は何ら上記した実施の形態に記載の構成に限定されるものではなく、特許請求の範囲に記載されている事項の範囲内で考えられるその他の実施の形態や変形例も含むものである。
例えば、三相誘導電動機の稼働時電流信号を、劣化パラメータ算出部の電流検出器で検出し、Ａ／Ｄ変換器によりデジタル化した後に劣化パラメータ算出部に入力するオンラインによる回転機械系の異常検知方法を用いた回転機械系の異常監視方法について説明したが、三相誘導電動機の稼働時電流信号を計測して保存した後、劣化パラメータ算出部に入力するオフラインによる回転機械系の異常検知方法を用いた回転機械系の異常監視方法も可能である。 As described above, the present invention has been described with reference to the embodiment. However, the present invention is not limited to the configuration described in the above embodiment, and the matters described in the scope of claims. Other embodiments and modifications conceivable within the scope are also included.
For example, an on-line abnormality detection of a rotating machine system that detects a current signal of a three-phase induction motor during operation with a current detector of a deterioration parameter calculation unit, digitizes it with an A / D converter, and then inputs it to the deterioration parameter calculation unit Although the method for monitoring abnormalities in rotating machinery using this method has been explained, after measuring and storing the current signal during operation of the three-phase induction motor, an offline method for detecting abnormalities in rotating machinery that is input to the deterioration parameter calculation unit An abnormality monitoring method for the rotating machine system used is also possible.

回転機械系の異常検知方法では、回転機械系の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータによる簡易診断を複数同時に実行したが、一つの劣化パラメータを選択して実行することもできる。
また、特徴周波数である歯車噛合い周波数を、三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、三相誘導電動機の実回転周波数との積として定義する場合について説明したが、特徴周波数を三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、三相誘導電動機のポール通過周波数との積として定義されるギアポール周波数としてもよく、特徴周波数として歯車噛合い周波数とギアポール周波数の両方を採用することもできる。
また、回転機械系の機械的構造に起因して発生する個別的な状態を評価する劣化パラメータとして、電流実効値Ｉｒｍｓ、稼働時電流信号の３相電流バランスＩｕｂ、稼働時電流信号の電流単調波比率ｉｄｉｓ、及び電流全調波比率Ｉｄｉｓのいずれか１又は任意の２以上の組み合わせを加えることもできる。
電流実効値Ｉｒｍｓで異常が検知されると、回転機械系の負荷に異常が、３相電流バランスＩｕｂ、電流単調波比率ｉｄｉｓ、又は電流全調波比率Ｉｄｉｓで異常が検知されると、電源品質又は三相誘導電動機の固定子で異常が生じていると推測できる。
更に、電源周波数の電流スペクトルピークの側帯波の両方の電流スペクトルピーク値を求める場合は、電流スペクトルピーク値の平均値を側帯波の電流スペクトルピーク値とする。
なお、三相誘導電動機の電源は、インバータ電源であっても本発明は適用できる。 In the rotating machine system abnormality detection method, multiple simple diagnoses using deterioration parameters that evaluate individual conditions that occur due to the mechanical structure of the rotating machine system were executed simultaneously, but one deterioration parameter was selected and executed. You can also
Also, the case where the gear meshing frequency, which is the characteristic frequency, is defined as the product of the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor and the actual rotation frequency of the three-phase induction motor has been described. However, the characteristic frequency may be a gear pole frequency defined as the product of the number of gear teeth attached to the rotating shaft of the rotor of the three-phase induction motor and the pole passing frequency of the three-phase induction motor. Both the meshing frequency and the gear pole frequency can be employed.
In addition, as degradation parameters for evaluating individual states generated due to the mechanical structure of the rotating machine system, the current effective value I rms , the three-phase current balance I ub of the operating current signal, the current of the operating current signal Any one or any combination of two or more of the monoharmonic ratio i dis and the current total harmonic ratio I dis may be added.
When an abnormality is detected with the current effective value I rms , an abnormality is detected in the load of the rotating machine system, and an abnormality is detected with the three-phase current balance I ub , the current monoharmonic ratio i dis , or the current total harmonic ratio I dis. It can be assumed that an abnormality has occurred in the power quality or the stator of the three-phase induction motor.
Furthermore, when obtaining the current spectrum peak values of both sidebands of the current spectrum peak of the power supply frequency, the average value of the current spectrum peak values is set as the current spectrum peak value of the sideband wave.
Note that the present invention can be applied even if the power source of the three-phase induction motor is an inverter power source.

１０：回転機械系の異常監視装置、１１：回転機械系、１２：三相誘導電動機、１２ａ：電源ケーブル、１３：劣化パラメータ算出部、１４：簡易異常診断部、１５：精密異常診断部、１６：電流検出器、１７：Ａ／Ｄ変換器、１８：処理ユニット、１９：電流情報量算出手段、２０：電流実効値算出手段、２１：３相電流バランス算出手段、２２：電流単調波比率算出手段、２３：電流全調波比率算出手段、２４：高速フーリエ変換器、２５：軸系電流比率算出手段、２６：ポール通過電流比率算出手段、２７：回転子すべり電流比率算出手段、２８：ブレード通過電流比率算出手段、２９：噛合い電流比率算出手段、２９ａ：ギアポール電流比率算出手段、３０：ベルト回転電流比率算出手段、３１：劣化パラメータ選定手段、３２：データベース、３３：簡易診断手段、３４：劣化傾向管理手段、３５：余寿命予測手段
10: rotating machine system abnormality monitoring device, 11: rotating machine system, 12: three-phase induction motor, 12a: power cable, 13: deterioration parameter calculation unit, 14: simple abnormality diagnosis unit, 15: precision abnormality diagnosis unit, 16 : Current detector, 17: A / D converter, 18: processing unit, 19: current information amount calculating means, 20: current effective value calculating means, 21: three-phase current balance calculating means, 22: current monoharmonic ratio calculation Means: 23: current total harmonic ratio calculating means, 24: fast Fourier transformer, 25: axial current ratio calculating means, 26: pole passing current ratio calculating means, 27: rotor slip current ratio calculating means, 28: blade passing current ratio calculation unit, 29: mesh current ratio calculation means, 29a: Giaporu current ratio calculation unit, 30: belt rotating current ratio calculation unit, 31: deterioration parameter selecting means, 32: de Database, 33: simplified diagnosis means, 34: degradation tendency managing unit, 35: remaining life prediction means

Claims (8)

三相誘導電動機を駆動源とする回転機械系に発生する異常を、該三相誘導電動機の稼働時電流信号の解析結果から検知する回転機械系の異常検知方法であって、
前記三相誘導電動機の稼働時電流信号を計測し、該稼働時電流信号の高速フーリエ変換を行う第１工程と、
前記高速フーリエ変換から得られた電流スペクトルの中から、前記三相誘導電動機の電源周波数の電流スペクトルピークを中心とし、前記回転機械系の異常に関連する特徴周波数分だけ低周波数側及び高周波数側にそれぞれ離れた周波数位置に存在する前記電源周波数の電流スペクトルピークの側帯波を抽出し、前記側帯波のどちらか一方又は両方の電流スペクトルピーク値を求める第２工程と、
前記第２工程で求めた前記側帯波の電流スペクトルピーク値及び前記電源周波数の電流スペクトルピークのピーク値を用いて前記回転機械系の劣化パラメータを算出する第３工程と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と予め設定した劣化判定基準値とを比較し、該劣化パラメータの値が前記劣化判定基準値に達したことにより異常を検知する第４工程とを有する簡易診断を行うことを特徴とする回転機械系の異常検知方法。 An abnormality detection method for a rotating machine system that detects an abnormality occurring in a rotating machine system using a three-phase induction motor as a drive source from an analysis result of an operating current signal of the three-phase induction motor,
A first step of measuring an operating current signal of the three-phase induction motor and performing a fast Fourier transform of the operating current signal;
Out of the current spectrum obtained from the fast Fourier transform, centered on the current spectrum peak of the power supply frequency of the three-phase induction motor, the low frequency side and the high frequency side by the characteristic frequency related to the abnormality of the rotating machine system A second step of extracting a sideband wave of the current spectrum peak of the power supply frequency existing at a frequency position away from each other, and obtaining a current spectrum peak value of one or both of the sidebands;
A third step of calculating a deterioration parameter of the rotating machine system using the current spectrum peak value of the sideband and the peak value of the current spectrum peak of the power supply frequency obtained in the second step;
The deterioration parameter value is recorded, the deterioration parameter value is compared with a preset deterioration determination reference value, and abnormality is detected when the deterioration parameter value reaches the deterioration determination reference value. An abnormality detection method for a rotating machine system, characterized in that a simple diagnosis having a process is performed. 請求項1記載の回転機械系の異常検知方法において、前記特徴周波数を、前記三相誘導電動機の回転子バーの本数と、該三相誘導電動機のすべり周波数との積として定義される回転子バーすべり周波数とすることを特徴とする回転機械系の異常検知方法。 2. The abnormality detection method for a rotating machine system according to claim 1, wherein the characteristic frequency is defined as a product of the number of rotor bars of the three-phase induction motor and a slip frequency of the three-phase induction motor. An abnormality detection method for a rotating machine system characterized by a slip frequency. 請求項1記載の回転機械系の異常検知方法において、前記特徴周波数を、前記三相誘導電動機により駆動される流体回転機械に設けられたブレード数と、該三相誘導電動機の実回転周波数との積として定義されるブレード通過周波数とすることを特徴とする回転機械系の異常検知方法。 2. The abnormality detection method for a rotating machine system according to claim 1, wherein the characteristic frequency is calculated by: a number of blades provided in a fluid rotating machine driven by the three-phase induction motor; and an actual rotation frequency of the three-phase induction motor. An abnormality detection method for a rotating machine system, characterized in that the blade passing frequency is defined as a product. 請求項1記載の回転機械系の異常検知方法において、前記特徴周波数を、前記三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数と、該三相誘導電動機の実回転周波数との積として定義される歯車噛合い周波数とすることを特徴とする回転機械系の異常検知方法。 The abnormality detection method for a rotating machine system according to claim 1, wherein the characteristic frequency includes the number of teeth of a gear attached to a rotating shaft of a rotor of the three-phase induction motor, and an actual rotation frequency of the three-phase induction motor. An abnormality detection method for a rotating machine system, wherein the gear meshing frequency is defined as a product of 請求項1記載の回転機械系の異常検知方法において、前記特徴周波数を、前記三相誘導電動機のポール通過周波数と、該三相誘導電動機の回転子の回転軸に取付けられた歯車の歯数との積として定義されるギアポール周波数とすることを特徴とする回転機械系の異常検知方法。 The abnormality detection method for a rotating machine system according to claim 1, wherein the characteristic frequency includes a pole passing frequency of the three-phase induction motor, and the number of teeth of a gear attached to a rotation shaft of the rotor of the three-phase induction motor. An abnormality detection method for a rotating machine system, characterized by having a gear pole frequency defined as a product of 請求項1記載の回転機械系の異常検知方法において、前記特徴周波数を、前記三相誘導電動機の回転子の回転軸に取付けられたプーリーの１回転に伴うベルト移動量のベルト全長に対する移動比率と、該三相誘導電動機の実回転周波数の積として定義されるベルト回転周波数とすることを特徴とする回転機械系の異常検知方法。 2. The abnormality detection method for a rotating machine system according to claim 1, wherein the characteristic frequency is a ratio of a belt movement amount to a total belt length with one rotation of a pulley attached to a rotation shaft of a rotor of the three-phase induction motor. An abnormality detection method for a rotating machine system, characterized in that a belt rotation frequency defined as a product of actual rotation frequencies of the three-phase induction motor is used. 請求項２〜６にそれぞれ記載した回転機械系の異常検知方法のいずれか１又は２以上を組み合わせた回転機械系の異常監視方法であって、
複数の前記簡易診断を繰り返す劣化傾向管理工程と、
複数の前記簡易診断の少なくとも一つで異常を検知した際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断工程とを有することを特徴とする回転機械系の異常監視方法。 A rotating machine system abnormality monitoring method combining any one or two or more of the rotating machine system abnormality detection methods described in claim 2, respectively.
A deterioration tendency management step that repeats the plurality of simple diagnoses;
A precision abnormality diagnosis step of identifying an abnormality type and an abnormality location in the rotating machine system based on the deterioration parameter reaching the deterioration determination reference value when an abnormality is detected in at least one of the plurality of simple diagnoses; An abnormality monitoring method for a rotating machine system, comprising: 請求項７記載の回転機械系の異常監視方法に使用する回転機械系の異常監視装置であって、
前記三相誘導電動機の稼働時電流信号から前記劣化パラメータを求める劣化パラメータ算出部と、
前記劣化パラメータの値を記録すると共に、該劣化パラメータの値と前記劣化判定基準値を比較する簡易異常診断部と、
前記簡易異常診断部で前記回転機械系に異常が検知された際に、前記劣化判定基準値に達した前記劣化パラメータに基づいて異常の種類と前記回転機械系における異常箇所を特定する精密異常診断部とを有することを特徴とする回転機械系の異常監視装置。 An abnormality monitoring apparatus for a rotating machine system used in the abnormality monitoring method for a rotating machine system according to claim 7,
A deterioration parameter calculating unit for obtaining the deterioration parameter from an operating current signal of the three-phase induction motor;
While recording the value of the deterioration parameter, a simple abnormality diagnosis unit that compares the value of the deterioration parameter and the deterioration determination reference value,
Precise abnormality diagnosis that identifies the type of abnormality and the abnormality location in the rotating machine system based on the deterioration parameter that has reached the deterioration determination reference value when an abnormality is detected in the rotating machine system by the simple abnormality diagnosis unit And an abnormality monitoring device for a rotating machine system.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019082277A1 (en) * 2017-10-24 2019-05-02 三菱電機株式会社 Anomaly assessment device, anomaly assessment method, and anomaly assessment system
JP2019158672A (en) * 2018-03-14 2019-09-19 富士電機株式会社 Abnormal current detector for three-phase AC cable
WO2020137362A1 (en) * 2018-12-26 2020-07-02 日本電産株式会社 Assessment device, motor device, and program
WO2020208743A1 (en) * 2019-04-10 2020-10-15 三菱電機株式会社 Abnormality diagnosis device for electric motor equipment, abnormality diagnosis method for electric motor equipment, and abnormality diagnosis system for electric motor equipment
EP3961910A1 (en) * 2020-08-27 2022-03-02 IBC Control AB Method and device of condition monitoring
JP2022135917A (en) * 2021-03-05 2022-09-15 株式会社日立製作所 Device and method for diagnosing rotary machines

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110088589B (en) 2016-12-15 2020-12-11 三菱电机株式会社 Abnormality diagnosis device for power transmission mechanism and abnormality diagnosis method for power transmission mechanism
KR102257079B1 (en) * 2017-02-03 2021-05-27 미쓰비시덴키 가부시키가이샤 Electric motor diagnostic device
JP6793565B2 (en) * 2017-02-06 2020-12-02 三菱パワー株式会社 State analyzer, display method, and program
JP2021151276A (en) * 2018-04-11 2021-09-30 オリンパス株式会社 Endoscope system and motor control system
JP7059161B2 (en) * 2018-10-22 2022-04-25 株式会社日立製作所 Rotating machine diagnostic system
US11527987B2 (en) * 2018-12-27 2022-12-13 Mitsubishi Electric Corporation Abnormality diagnosis device and abnormality diagnosis method
JP7275008B2 (en) * 2019-11-14 2023-05-17 株式会社日立製作所 Diagnostic device, motor drive device and diagnostic method
JP2021196267A (en) * 2020-06-15 2021-12-27 三菱パワー株式会社 Sign determination device, sign determination method, and program
JP7400691B2 (en) * 2020-10-23 2023-12-19 トヨタ自動車株式会社 Vehicle parts life prediction device
CN112782580B (en) * 2021-02-25 2023-02-10 上海弈格工程技术有限公司 Fault assessment system of motor

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000184658A (en) * 1998-12-11 2000-06-30 Osaka Gas Co Ltd Diagnostic device for induction motor
JP2003274691A (en) * 2002-03-14 2003-09-26 Jfe Steel Kk Method and device for detecting abnormality of rotor in ac motor
JP2004112906A (en) * 2002-09-18 2004-04-08 Jfe Steel Kk Detection method for crack of rotor bar of ac motor
JP2005251185A (en) * 2004-02-05 2005-09-15 Toenec Corp Electric equipment diagnostic system
JP2010288352A (en) * 2009-06-10 2010-12-24 Nippon Steel Corp Method for diagnosing fault in facility
WO2014156386A1 (en) * 2013-03-29 2014-10-02 三菱電機株式会社 Electric motor diagnosis device and switching device
EP2851698A1 (en) * 2013-09-18 2015-03-25 ABB Technology Ltd A method for detecting a fault in an electrical machine
JP5733913B2 (en) * 2010-06-11 2015-06-10 株式会社高田工業所 Abnormal diagnosis method for rotating machinery

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000184658A (en) * 1998-12-11 2000-06-30 Osaka Gas Co Ltd Diagnostic device for induction motor
JP2003274691A (en) * 2002-03-14 2003-09-26 Jfe Steel Kk Method and device for detecting abnormality of rotor in ac motor
JP2004112906A (en) * 2002-09-18 2004-04-08 Jfe Steel Kk Detection method for crack of rotor bar of ac motor
JP2005251185A (en) * 2004-02-05 2005-09-15 Toenec Corp Electric equipment diagnostic system
JP2010288352A (en) * 2009-06-10 2010-12-24 Nippon Steel Corp Method for diagnosing fault in facility
JP5733913B2 (en) * 2010-06-11 2015-06-10 株式会社高田工業所 Abnormal diagnosis method for rotating machinery
WO2014156386A1 (en) * 2013-03-29 2014-10-02 三菱電機株式会社 Electric motor diagnosis device and switching device
EP2851698A1 (en) * 2013-09-18 2015-03-25 ABB Technology Ltd A method for detecting a fault in an electrical machine

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
河部 佳樹 Y.KAWABE: "電流解析による異常検知法 Abnormality Detecting Method Using Electrical Current Analysis", 火力原子力発電, JPN6016018442, 27 September 2011 (2011-09-27), pages 14 - 19, ISSN: 0003357920 *
豊田利夫: "電流徴候解析MCSAによる電動機駆動回転機の診断技術", 高田技報, vol. 20, JPN6015023605, April 2010 (2010-04-01), pages 3 - 6, ISSN: 0003319404 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019082277A1 (en) * 2017-10-24 2019-05-02 三菱電機株式会社 Anomaly assessment device, anomaly assessment method, and anomaly assessment system
JPWO2019082277A1 (en) * 2017-10-24 2020-11-19 三菱電機株式会社 Abnormality diagnosis device, abnormality diagnosis method and abnormality diagnosis system
JP7123584B2 (en) 2018-03-14 2022-08-23 富士電機株式会社 Abnormal current detector for three-phase AC cable
JP2019158672A (en) * 2018-03-14 2019-09-19 富士電機株式会社 Abnormal current detector for three-phase AC cable
WO2020137362A1 (en) * 2018-12-26 2020-07-02 日本電産株式会社 Assessment device, motor device, and program
WO2020208743A1 (en) * 2019-04-10 2020-10-15 三菱電機株式会社 Abnormality diagnosis device for electric motor equipment, abnormality diagnosis method for electric motor equipment, and abnormality diagnosis system for electric motor equipment
CN113647013A (en) * 2019-04-10 2021-11-12 三菱电机株式会社 Abnormality diagnosis device for motor apparatus, abnormality diagnosis method for motor apparatus, and abnormality diagnosis system for motor apparatus
JP7109656B2 (en) 2019-04-10 2022-07-29 三菱電機株式会社 Abnormality Diagnosis Device for Electric Motor Equipment, Abnormality Diagnosis Method for Electric Motor Equipment, and Abnormality Diagnosis System for Electric Motor Equipment
JPWO2020208743A1 (en) * 2019-04-10 2021-10-14 三菱電機株式会社 Motor equipment abnormality diagnosis device, motor equipment abnormality diagnosis method, and motor equipment abnormality diagnosis system
CN113647013B (en) * 2019-04-10 2024-05-10 三菱电机株式会社 Abnormality diagnosis device for motor apparatus, abnormality diagnosis method for motor apparatus, and abnormality diagnosis system for motor apparatus
EP3961910A1 (en) * 2020-08-27 2022-03-02 IBC Control AB Method and device of condition monitoring
JP2022135917A (en) * 2021-03-05 2022-09-15 株式会社日立製作所 Device and method for diagnosing rotary machines
JP7319345B2 (en) 2021-03-05 2023-08-01 株式会社日立製作所 Rotating machinery diagnostic device and method

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