CN110531261A - A kind of non-intrusion type initial failure of asynchronous electromotor detection method and system - Google Patents

A kind of non-intrusion type initial failure of asynchronous electromotor detection method and system Download PDF

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Publication number
CN110531261A
CN110531261A CN201910794519.4A CN201910794519A CN110531261A CN 110531261 A CN110531261 A CN 110531261A CN 201910794519 A CN201910794519 A CN 201910794519A CN 110531261 A CN110531261 A CN 110531261A
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China
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module
detection
voltage
failure
signal
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Inventor
张兆君
戴锋
汤晓峥
赵学华
汪海洋
刘一丹
宋金山
朱超
王攀攀
许浩
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China University of Mining and Technology CUMT
Maintenance Branch of State Grid Jiangsu Electric Power Co Ltd
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China University of Mining and Technology CUMT
Maintenance Branch of State Grid Jiangsu Electric Power Co Ltd
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Priority to CN201910794519.4A priority Critical patent/CN110531261A/en
Publication of CN110531261A publication Critical patent/CN110531261A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • G01R31/346Testing of armature or field windings

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)

Abstract

The invention discloses a kind of non-intrusion type initial failure of asynchronous electromotor detection method in technology of instrument and meter field and systems, it is intended to solve the technical issues of asynchronous motor rotor fault detection type is single in the prior art, detection algorithm is single, detection process and result not can be carried out long-range monitoring.Described method includes following steps: acquisition obtains the voltage or/and current signal of local motor stator, and is transmitted to cloud server;Detection calculations are carried out to the voltage or/and current signal using no less than two kinds of detection algorithms, obtain motor fault recognition result, the detection algorithm includes Fast Fourier Transform (FFT), Hilbert transform, at least wantonly two in PARK vector operation, and the motor fault includes motor rotor failure.

Description

A kind of non-intrusion type initial failure of asynchronous electromotor detection method and system
Technical field
The present invention relates to a kind of non-intrusion type initial failure of asynchronous electromotor detection method and systems, belong to instrument and meter skill Art field.
Background technique
Asynchronous motor is because it has many advantages, such as structure simple, long service life, low in cost, in national economy field It is widely applied.In various electric drive systems, there is 90% or so to use Asynchronous Motor Driving;In power grid total load In, asynchronous motor accounts for 60% or so.But due to the overload, frequent starting and system of objective reality in actual moving process Bad working environments and the motor rotor inherent defects such as dynamic, mechanical stress and thermal stress are excessive are easy to appear eccentric, disconnected The failures such as item or end ring cracking, not only result in huge economic loss, can also jeopardize personal safety when serious.Therefore, to different The rotor cage fault detection that motor carries out early stage is walked, debugs, is of great significance in time.
Traditional asynchronous motor rotor fault detection means is primarily present following deficiency: (1) detection algorithm is single, inconvenient In comparing and analyze, and it is only applicable to specific operation;(2) fault type that single detection algorithm can be detected is relatively simple, The detection that especially can not achieve incipient failure causes detection accuracy low;(3) operating process of detection system and detection knot Fruit not can be carried out long-range monitoring, and Field Force is needed to operate.
Summary of the invention
It is an object of the invention to overcome deficiency in the prior art, to solve asynchronous motor rotor event in the prior art The barrier detection technical problem that type is single, detection algorithm is single.
The present invention provides a kind of non-intrusion type initial failure of asynchronous electromotor detection methods, include the following steps:
Acquisition obtains the voltage or/and current signal of local motor stator, and is transmitted to cloud server;
Detection calculations are carried out to the voltage or/and current signal using no less than two kinds of detection algorithms, obtain motor fault Recognition result, the detection algorithm include Fast Fourier Transform (FFT), Hilbert transform, at least wantonly two in PARK vector operation , the motor fault includes motor rotor failure.
Preferably, acquisition obtains the voltage or/and current signal of local motor stator, further includes: to the voltage or/ It is converted and is filtered with current signal.
Preferably, further includes: the fault identification result is fed back into local user side.
In order to achieve the above objectives, the present invention also provides a kind of non-intrusion type initial failure of asynchronous electromotor detection system, Including data acquisition module, signal processing module, failure analysis module, wireless communication module, the data acquisition module and letter Number processing module is deployed in local and is electrically connected to each other, and the failure analysis module is deployed in cloud server and is integrated with inspection Method of determining and calculating, the detection algorithm include Fast Fourier Transform (FFT), Hilbert transform, at least wantonly two in PARK vector operation , module and failure analysis module are wirelessly connected data acquisition module by wireless communication, and the wireless communication module includes 4G Routing module.
Preferably, the data acquisition module includes current sensor, voltage sensor, data collecting card, the data Capture card obtains the voltage or/and current signal of local motor stator by current sensor or/and voltage sensor acquisition; The current sensor includes current clamp, and the voltage sensor includes Hall sensor.
Preferably, the signal processing module includes signal conditioning circuit, the input terminal of signal conditioning circuit respectively with electricity The output end of flow sensor and voltage sensor is electrically connected, the output end of signal conditioning circuit and the input terminal of data collecting card It is electrically connected.
Preferably, the signal processing module further includes low ripple linear power supply module, the low ripple linear power supply mould Block and current sensor, voltage sensor and signal conditioning circuit are electrically connected.
Preferably, the failure analysis module includes upper computer software operating system.
Preferably, the 4G routing module is guide tracked 4G wireless router.
Compared with prior art, advantageous effects of the invention: the voltage and current signals of acquisition motor stator Without invading motor field frame, convenience is stronger, is suitable for various complex working conditions;Failure analysis module is deployed in cloud service Device, can be in strange land real-time monitoring;Failure analysis module carries out on-line checking operation to signal using Many Detection simultaneously, leads to It crosses and the testing result of various detection algorithms is compared and is analyzed, be conducive to improve detection accuracy, at the beginning of finding motor in time Send out failure;Fault identification result is fed back into local user side by wireless transmission method, grasps electricity in time convenient for local user The operation conditions of motivation, excludes motor fault in time, avoids security risk.
Detailed description of the invention
Fig. 1 is a kind of non-intrusion type initial failure of asynchronous electromotor detection system that the specific embodiment of the invention provides Functional block diagram;
Fig. 2 is a kind of hardware for non-intrusion type initial failure of asynchronous electromotor detection system that the specific embodiment of the invention provides Part design frame chart.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention Technical solution, and not intended to limit the protection scope of the present invention.
The specific embodiment of the invention provides a kind of non-intrusion type initial failure of asynchronous electromotor detection method, the side Method includes the following steps:
Step 1, acquisition obtain the voltage and current signals for the asynchronous motor stator being located locally, and to the voltage and current Signal is converted and is filtered, to obtain the waveform of detection asynchronous motor rotor incipient failure desired signal, i.e. normal voltage And current signal.Voltage and current signals in the present embodiment, the i.e. voltage and current signals of asynchronous motor stator input terminal, It is acquired using current clamp, Hall sensor etc., without invading motor field frame, there is stronger convenience and practical Property, it is suitable for various complex working conditions.
Conversion and filtered voltage and current signals are wirelessly transmitted to cloud server, deployment cloud clothes by step 2 The failure analysis module being engaged on device utilizes its own integrated Fast Fourier Transform (FFT) (FFT), Hilbert transform (Hilbert) Every kind is examined respectively to the normal voltage and current signal progress detection calculations with Many Detections such as PARK vector operations The detection calculations result of method of determining and calculating is compared and is analyzed, final to obtain motor rotor fault identification result.
FFT is the fast algorithm of Discrete Fourier Transform, a signal can be transformed from the time domain to frequency domain, in order to know The spectrum signature of level signal.Asynchronous motor occur rotor fault after, in its stator current by the frequency of occurrences be (1 ± 2s)f 1 Extra current component, wherein s is slip of induction motor, f 1For frequency of supply.Therefore, frequency is carried out to stator current Rotor cage fault detection can be realized to extract, investigate its side frequency component in spectrum analysis;
It is by the stator under static three phase coordinate system using the basic principle of PARK vector method detection rotor failure Under current transformation to static two phase coordinates (d axis and q axis), corresponding direct-axis current component I is obtaineddWith quadrature axis current component Iq, see Examining current locus in above-mentioned two phase coordinate system is the round or oval fault detection that can be realized to rotor, its current locus when normal For a circle, ellipticity is then presented in when rotor fault;
It is by any one phase current signal warp of stator using the basic principle of Hilbert transformation algorithm detection rotor failure Cross Hilbert convert to be formed Hilbert transformation pair, with composition analytic signal.Wherein, the real part of analytic signal is primary current Signal, imaginary part are that electric current passes through the transformed amount of Hilbert.Spectrum analysis, detection are carried out by square mould to analytic signal Whether contain 2 in its frequency spectrumksf 1Ormf rFrequency component, so that it may realize fault detection to rotor.Wherein, s is asynchronous electricity The revolutional slip of motivation, f 1For frequency of supply,f rFor speed-frequency, the corresponding fault signature frequency of the speed-frequency, that is, fault of eccentricity Rate,kWithmFor positive integer.
Many Detection is integrated to improve the diversity of detection method, is for the ease of comparing and analyzing distinct methods and examine When a kind of detection of method is undesirable another or several detection method cooperation detections can be used, and then improve in disconnected validity The accuracy of fault diagnosis.
Step 3, failure analysis module utilize wireless transmission method, fault identification result are fed back to local user side, with It grasps the operation conditions of asynchronous motor in real time conducive to local user, excludes motor rotor incipient failure in time, it is ensured that electronic The steady reliability service of machine avoids incipient failure from developing into bias, broken strip, end ring cracking etc. compared with major break down and security risk, danger And personal and property safety.
The specific embodiment of the invention additionally provides a kind of non-intrusion type initial failure of asynchronous electromotor detection system, former It manages block diagram and the hardware design block diagram difference is as depicted in figs. 1 and 2, the system comprises data acquisition modules, signal processing Module, failure analysis module, wireless communication module, the data acquisition module and signal processing module are deployed in local and each other It is electrically connected, the failure analysis module is the upper computer software operating system being deployed on server, in operation system of software It is integrated with the Many Detections such as Fast Fourier Transform (FFT) (FFT), Hilbert transform (Hilbert), PARK vector operation, institute Stating wireless communication module is 4G routing module;The data acquisition module includes current sensor, voltage sensor, data acquisition Card, the signal processing module include signal conditioning circuit and low ripple linear power supply module, low ripple linear power supply module with Current sensor, voltage sensor and signal conditioning circuit are electrically connected, and the input terminal of signal conditioning circuit is passed with electric current respectively The output end of sensor and voltage sensor is electrically connected, and the output end of signal conditioning circuit and the input terminal of data collecting card are electrical Connection, the output end and 4G routing module of data collecting card are electrically connected, and data collecting card passes through 4G routing module and host computer Operation system of software is wirelessly connected.
The operational process of present system embodiment is as follows: (1) low ripple linear power supply module is to current sensor, voltage Sensor and signal conditioning circuit provide stabilized power supply;(2) voltage sensor acquisition obtains the voltage letter of local motor stator Number, current sensor acquisition obtains the current signal of local motor stator;(3) signal conditioning circuit to collected voltage and Current signal is converted and is filtered, to obtain normal voltage and current signal, the signal conditioning circuit also to signal into Row enhanced processing, to adapt to the range of data collecting card;(4) data collecting card obtains converted, filtering and amplified standard Voltage and current signals;(5) the collected normal voltage of data collecting card institute and current signal are wirelessly transferred by 4G routing module To host computer operation system of software;(6) upper computer software operating system utilizes its integrated Fast Fourier Transform (FFT) (FFT), wishes The Many Detections such as your Bert transformation (Hilbert), PARK vector operation respectively carry out the normal voltage and current signal Detection calculations are compared and are analyzed to the detection calculations result of every kind of detection algorithm, and the final motor rotor failure that obtains is known Not as a result, specific fault detection principle and cooperation detection process are described in detail in embodiment of the present invention method, this is soft Part operating system has friendly operation interface, can be realized acquired in real time including signal, algorithm is analyzed in real time and fructufy When display etc. including various functions, since the operation system of software is deployed in cloud server, thus can be by testing staff's benefit It is carried out remotely detecting monitoring with wireless communication mode;(7) operation system of software utilizes 4G routing module by motor rotor failure Recognition result is wirelessly transmitted to local user side, so that local user grasps the operation conditions of asynchronous motor in real time.
In the present embodiment, the design of data acquisition module uses National Instruments (National Instruments, NI) 9202 multifunctional data acquisition card of NI, voltage sensor selects model LEM-LAH 25-NP Hall sensor, current sensor select iProbe200 current clamp as the capital equipment of measurement electric current.
Low ripple linear power supply module mainly includes voltage reduction module (transformer), rectification filtering module (rectifier and big electricity Hold), linear voltage stabilization module (positive and negative linear voltage-stabilizing circuit), low-pass filtering module (low-pass filter circuit), 220V alternating current pass through Transformer pressure-reducing, into positive and negative linear voltage-stabilizing circuit, recycles low-pass filtering after rectification circuit and bulky capacitor filtering to 18V After circuit filters out the interference signal outside direct current, the low ripple DC voltage of output ± 15V respectively, the amplitude of ripple fluctuation is less than etc. In 3mV, to ensure the stability of output voltage.
Cloud server selects model to grind magnificent IPPC-6172A industrial panel computer, aforementioned as failure analysis module Operation system of software is deployed on the tablet computer.The operation system of software is used using LabVIEW as Software Development Platform The thought of modularization programming has separately designed parameter setting, data acquisition is shown with waveform, algorithm is analyzed, diagnostic result is shown Etc. functional modules.System starts before detecting motor rotor failure, needs to adopt signal sampling frequencies, sampling configuration, every channel The parameters such as sample number carry out Initialize installation;Next, completing the acquisition of signal by data acquisition module and signal processing module Real-time display is carried out by the waveform diagram control in LabVIEW with the signal of processing, acquisition;Meanwhile the corresponding detection of selection is calculated Method carries out detection calculations to voltage and current signals, and then extracts fault characteristic value.To improve detection accuracy, generally at least choose Two or more detection algorithms carry out detection calculations to signal, extract its fault characteristic value respectively and are compared and analyze, with benefit In improving detection accuracy, motor rotor incipient failure is found in time;Finally, according to the display result of waveform diagram control and institute Using the testing principle of algorithm, to judge whether motor rotor breaks down, and it will test result and utilize wireless transmission method Local user side is fed back in time.
4G routing module has selected the guide tracked 4G wireless router of the other HF8014 type of technical grade.It, which possesses 1, can be switched WAN/LAN Ethernet interface, 3 antennas at top are respectively used to receive 4G signal, amplification and transmitting wireless signal.System When operation, 9202 multifunctional data acquisition card of NI is connected with the Ethernet interface of the router, and industrial panel computer then connects The wireless signal that router issues, thereby realizes the wireless communication between data acquisition module and tablet computer.Meanwhile it should Module is even connected to the Net by insertion SIM card, realizes the wireless telecommunications of industrial panel computer and remote terminal.
Operation system of software when in use, need to only follow the steps below: (1) testing staff's Telnet industry The login interface of tablet computer end operation system of software inputs username and password, into operation interface;(2) creation signal is adopted Correlation acquisition parameter, such as sampling configuration, sample frequency, sampling number is arranged in set task;(3) operation system of software is pressed Start button starts to detect signal;(4) corresponding detection algorithm is selected by the tabs control at interface;(5) basis Figure shown by algorithm analysis module, the corresponding testing principle of combination algorithm differentiate asynchronous motor with the presence or absence of rotor event Barrier.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (9)

1. a kind of non-intrusion type initial failure of asynchronous electromotor detection method, characterized in that include the following steps:
Acquisition obtains the voltage or/and current signal of local motor stator, and is transmitted to cloud server;
Detection calculations are carried out to the voltage or/and current signal using no less than two kinds of detection algorithms, obtain motor fault Recognition result, the detection algorithm include Fast Fourier Transform (FFT), Hilbert transform, at least wantonly two in PARK vector operation , the motor fault includes motor rotor failure.
2. non-intrusion type initial failure of asynchronous electromotor detection method according to claim 1, characterized in that acquisition obtains The voltage or/and current signal of local motor stator, further includes: the voltage or/and current signal are converted and filtered Wave.
3. non-intrusion type initial failure of asynchronous electromotor detection method according to claim 1 or 2, characterized in that also wrap It includes: the fault identification result is fed back into local user side.
4. a kind of non-intrusion type initial failure of asynchronous electromotor detection system, characterized in that at data acquisition module, signal Manage module, failure analysis module, wireless communication module, the data acquisition module and signal processing module be deployed in local and that This is electrically connected, and the failure analysis module is deployed in cloud server and is integrated with detection algorithm, and the detection algorithm includes Fast Fourier Transform (FFT), Hilbert transform, at least wantonly two in PARK vector operation, data acquisition module passes through channel radio Believe that module and failure analysis module are wirelessly connected, the wireless communication module includes 4G routing module.
5. non-intrusion type initial failure of asynchronous electromotor detection system according to claim 4, characterized in that the data Acquisition module includes current sensor, voltage sensor, data collecting card, the data collecting card by current sensor or/ The voltage or/and current signal for obtaining local motor stator are acquired with voltage sensor;The current sensor includes electric current Pincers, the voltage sensor includes Hall sensor.
6. non-intrusion type initial failure of asynchronous electromotor detection system according to claim 5, characterized in that the signal Processing module includes signal conditioning circuit, and the input terminal of signal conditioning circuit is defeated with current sensor and voltage sensor respectively Outlet is electrically connected, and the output end of signal conditioning circuit and the input terminal of data collecting card are electrically connected.
7. non-intrusion type initial failure of asynchronous electromotor detection system according to claim 6, characterized in that the signal Processing module further includes low ripple linear power supply module, the low ripple linear power supply module and current sensor, voltage sensor Device and signal conditioning circuit are electrically connected.
8. non-intrusion type initial failure of asynchronous electromotor detection system according to any one of claims 4 to 7, feature It is that the failure analysis module includes upper computer software operating system.
9. non-intrusion type initial failure of asynchronous electromotor detection system according to any one of claims 4 to 7, feature It is that the 4G routing module is guide tracked 4G wireless router.
CN201910794519.4A 2019-08-27 2019-08-27 A kind of non-intrusion type initial failure of asynchronous electromotor detection method and system Pending CN110531261A (en)

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CN114113887A (en) * 2021-11-22 2022-03-01 深圳供电局有限公司 Power distribution network fault positioning method and system
CN115586345A (en) * 2022-12-09 2023-01-10 深圳市双合电气股份有限公司 Motor self-adaptive rotating speed estimation method and system based on stator current

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Publication number Priority date Publication date Assignee Title
CN111412114A (en) * 2019-12-26 2020-07-14 浙江运达风电股份有限公司 Wind turbine generator impeller imbalance detection method based on stator current envelope spectrum
CN111412114B (en) * 2019-12-26 2021-12-07 浙江运达风电股份有限公司 Wind turbine generator impeller imbalance detection method based on stator current envelope spectrum
CN114113887A (en) * 2021-11-22 2022-03-01 深圳供电局有限公司 Power distribution network fault positioning method and system
CN114113887B (en) * 2021-11-22 2023-06-20 深圳供电局有限公司 Fault positioning method and system for power distribution network
CN115586345A (en) * 2022-12-09 2023-01-10 深圳市双合电气股份有限公司 Motor self-adaptive rotating speed estimation method and system based on stator current

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