CN113424044B - Method and device for diagnosing remaining life of electrical equipment - Google Patents
Method and device for diagnosing remaining life of electrical equipment Download PDFInfo
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- CN113424044B CN113424044B CN201980091515.8A CN201980091515A CN113424044B CN 113424044 B CN113424044 B CN 113424044B CN 201980091515 A CN201980091515 A CN 201980091515A CN 113424044 B CN113424044 B CN 113424044B
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- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000003745 diagnosis Methods 0.000 claims abstract description 109
- 238000001514 detection method Methods 0.000 claims abstract description 105
- 238000011156 evaluation Methods 0.000 claims abstract description 54
- 238000002474 experimental method Methods 0.000 claims abstract description 27
- 230000006866 deterioration Effects 0.000 claims abstract description 17
- 239000012212 insulator Substances 0.000 claims description 87
- 238000009826 distribution Methods 0.000 claims description 31
- 238000009434 installation Methods 0.000 claims description 28
- 238000005259 measurement Methods 0.000 claims description 27
- 230000015556 catabolic process Effects 0.000 claims description 14
- 238000006731 degradation reaction Methods 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 6
- 238000004378 air conditioning Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 3
- 239000011810 insulating material Substances 0.000 abstract description 2
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 54
- TXKMVPPZCYKFAC-UHFFFAOYSA-N disulfur monoxide Inorganic materials O=S=S TXKMVPPZCYKFAC-UHFFFAOYSA-N 0.000 description 17
- XTQHKBHJIVJGKJ-UHFFFAOYSA-N sulfur monoxide Chemical compound S=O XTQHKBHJIVJGKJ-UHFFFAOYSA-N 0.000 description 17
- 230000000875 corresponding effect Effects 0.000 description 15
- 238000009413 insulation Methods 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 7
- 239000004020 conductor Substances 0.000 description 7
- 238000003860 storage Methods 0.000 description 7
- 238000005070 sampling Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000002596 correlated effect Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000007423 decrease Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 150000002500 ions Chemical class 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- KXGFMDJXCMQABM-UHFFFAOYSA-N 2-methoxy-6-methylphenol Chemical compound [CH]OC1=CC=CC([CH])=C1O KXGFMDJXCMQABM-UHFFFAOYSA-N 0.000 description 1
- 230000004397 blinking Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000003822 epoxy resin Substances 0.000 description 1
- 239000005007 epoxy-phenolic resin Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 238000000491 multivariate analysis Methods 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 229920001568 phenolic resin Polymers 0.000 description 1
- 229920000647 polyepoxide Polymers 0.000 description 1
- 229920001225 polyester resin Polymers 0.000 description 1
- 239000004645 polyester resin Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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- General Health & Medical Sciences (AREA)
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- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
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Abstract
A remaining life diagnosis method of an electrical device, wherein a detection sensor (S1) for detecting an evaluation item affecting deterioration of an insulating material is provided in the electrical device, then a similar instance is extracted from a 'actual performance database' storing information of the power receiving device which has been provided (S2), a surface resistivity at the time of providing the detection sensor is estimated from the value of the similar instance and a relation formula (S3) of the use years-surface resistivity is obtained from the estimated value and data of the use years of 0 years, a surface resistivity corresponding to the use years is calculated in order from a 'basic experiment database' storing a correlation between the evaluation item and the surface resistivity and the data (S3) obtained by the detection sensor (S4), the use years of the electrical device at the time of providing the detection sensor is subtracted from the use years calculated in (S5) to calculate a remaining life (S6).
Description
Technical Field
The present application relates to a remaining life diagnosis method and a remaining life diagnosis device for an electrical device.
Background
The power receiving and distributing equipment is equipment that functions to supply electric power to a factory or a building, and long-term reliability and stability are required to be ensured for operation. If an electrical failure occurs due to deterioration of an insulator used in power receiving and distributing equipment caused by long-term use of the power receiving and distributing equipment, the influence of loss in production, maintenance of equipment, and the like on production equipment or buildings becomes large. Accordingly, a technique capable of diagnosing deterioration of an insulator used in power receiving and distribution equipment with high accuracy is desired.
Degradation of the insulation used in the power receiving and distribution equipment can be considered to be performed by the following procedure.
(1) Dust or gas (NOx (nitrogen oxide), SOx (sulfur oxide)) suspended in the environment where the insulator is provided adheres, thereby causing a decrease in the surface resistivity of the insulator. In addition, when the humidity is high or the temperature is high, the surface resistivity of the insulator is also lowered. (2) The local dry bands are formed on the insulation due to joule heating caused by the leakage current. (3) Since the voltage is concentrated on the dry belt, a blinking discharge occurs. (4) The organic matter of the insulator is carbonized by the discharge to form a conductive path, resulting in dielectric breakdown.
In order to prevent an electrical failure caused by the occurrence of insulation breakdown, it is necessary to grasp the degradation state of an insulator used in power receiving and distribution equipment and to perform protection and update in a planned manner. Accordingly, it is necessary to quantitatively and accurately grasp the degree of deterioration of the insulator used in the power receiving and distribution equipment and to diagnose the remaining life of the power receiving and distribution equipment.
As a conventional remaining life diagnosis method, for example, patent document 1 (japanese patent application laid-open No. 2012-141146) discloses. Accordingly, the degradation diagnosis device for an insulator used in a power receiving and distribution apparatus includes an estimation unit and a diagnosis unit, and the estimation unit estimates the surface resistivity by multivariate analysis based on coefficients of evaluation items (ion content, hue, glossiness, reflectance, etc.) and actual measurement values of the evaluation items, which are set in advance for the insulator. Then, the diagnostic means obtains an estimated curve indicating a change in the surface resistivity with respect to the period of use based on the surface resistivity estimated by the estimating means and the period of use of the insulator, and obtains the effective period of the insulator based on a time point when the estimated curve becomes equal to or less than a predetermined threshold value.
Prior art literature
Patent literature
Patent document 1: japanese patent application laid-open No. 2012-141146 (FIGS. 1 to 11)
Disclosure of Invention
Technical problem to be solved by the invention
In the method for diagnosing the remaining life of an insulator used in a conventional power receiving and distribution apparatus as in patent document 1, it is necessary to actually measure an evaluation item such as an ion content or a hue. In actual measurement, in order to obtain measurement and a value of an evaluation item required for diagnosis of remaining life, the measurement must be carried to a site where power receiving and distribution equipment is installed, a sample is collected, and analysis is performed after carrying back, which is a problem that diagnosis is time-consuming and laborious. In addition, in the case of actually measuring the condition of the power receiving and distributing equipment, although the power receiving and distributing equipment needs to be powered off due to the work, the power receiving and distributing equipment cannot be handled simply due to the stop of operations of factories, offices and the like, and there is a problem that the power receiving and distributing equipment cannot be handled until a maintenance inspection time point of once a few years.
The present invention has been made to solve the above-described problems, and an object of the present invention is to obtain a remaining life diagnosis method and a remaining life diagnosis device that can easily perform diagnosis even if measurement of evaluation items required for the remaining life diagnosis on a site where an electric device such as a power receiving and distribution device is installed is omitted.
Technical means for solving the technical problems
The remaining life diagnosis method of an electrical device according to the present application is a remaining life diagnosis method of an electrical device including an insulator, the remaining life diagnosis method including:
a step of providing a detection sensor for detecting an evaluation item affecting deterioration of an insulator in the electrical equipment;
Extracting the surface resistivity of the insulator of the set electrical equipment similar to the setting environment of the detection sensor from a performance database storing data of the setting environment of the set electrical equipment and the degradation condition of the insulator;
Estimating the surface resistivity at the time of setting the detection sensor based on the value of the surface resistivity of the insulator at the time of past diagnosis in the similar setting environment obtained by the extraction, thereby obtaining an estimated surface resistivity, and correlating the estimated surface resistivity with the surface resistivity of the insulator extracted from the basic experiment database for the years of use of 0 years, thereby obtaining a first relation of the years of use-surface resistivity of the electrical equipment to be diagnosed;
Extracting, using the basic experiment database, a surface resistivity corresponding to an actual measurement evaluation item corresponding to a value of the evaluation item continuously obtained by the detection sensor, and obtaining a second relation of years of use-surface resistivity obtained by correcting the first relation of years of use-surface resistivity obtained in the above step using the surface resistivity corresponding to the actual measurement evaluation item;
A step of setting a predetermined threshold value in the second relational expression and calculating the age of the life; and
And a step of calculating the remaining life by subtracting the number of years of use of the electrical device at the time of setting the detection sensor or at the measurement time point of the detection sensor from the number of years of life calculated in the above step.
The remaining life diagnosis device for an electrical device according to the present application is a remaining life diagnosis device for an electrical device including an insulator, the remaining life diagnosis device including:
A detection sensor provided in the electrical equipment and configured to detect an evaluation item related to deterioration of the insulator;
A similar case extracting unit that extracts a surface resistivity of an insulator of the set electrical equipment similar to the setting environment of the detection sensor from a performance database storing data of the setting environment of the set electrical equipment and the degradation condition of the insulator;
A use years-surface resistivity relational expression generating unit that estimates a surface resistivity at the time of installation of the detection sensor based on a value of a surface resistivity of an insulator at the time of past diagnosis in a similar installation environment obtained by the extraction, thereby obtaining an estimated surface resistivity, and correlates the estimated surface resistivity with a surface resistivity of the insulator for the use years of 0 years extracted from the basic experiment database, thereby generating a first relational expression of the use years-surface resistivity of the electrical equipment to be diagnosed;
A correction unit that uses a year-surface resistivity relation that uses the basic experiment database to extract a surface resistivity corresponding to an actual measurement evaluation item corresponding to a value of the evaluation item continuously obtained by the detection sensor, corrects the first relation of year-surface resistivity generated by the year-surface resistivity relation generation unit using the surface resistivity corresponding to the actual measurement evaluation item, and generates a second relation of year-surface resistivity;
A lifetime years calculation unit that sets a predetermined threshold in the second relational expression and calculates a lifetime years; and
And a remaining life calculating unit that calculates a remaining life by subtracting the number of years of use of the electrical device at the time of setting the detection sensor or at the measurement time point of the detection sensor from the number of years of life calculated by the number of years of life calculating unit.
Effects of the invention
According to the remaining life diagnosis method or the remaining life diagnosis device disclosed in the present application, based on the deterioration characteristic information of the insulator in the similar installation environment case, the relational expression of the number of years of use to the surface resistivity is generated, and the relational expression of the number of years of use to the surface resistivity is corrected using the evaluation item value measured by the detection sensor and the surface resistivity of the insulator from the basic experiment database relating to the deterioration characteristic of the insulator, and the number of years of life and the remaining life are calculated, so that even if the field measurement of the installation electric equipment is omitted, reliable diagnosis can be performed.
Drawings
Fig. 1 is a sectional view schematically showing the structure of a switching device as one example of power receiving and distribution equipment.
Fig. 2 is a flowchart illustrating a procedure of remaining life diagnosis according to embodiment 1.
Fig. 3 is a graph showing a procedure of generating a first relational expression using years-surface resistivity and a manner of considering generation of a second relational expression in the remaining lifetime diagnosis of embodiment 1.
Fig. 4 is a graph illustrating a relationship between relative humidity (RH%) and surface resistivity, which is an example of data recorded in the basic experiment database in the residual life diagnosis of embodiment 1.
Fig. 5 is a schematic configuration diagram of a system for performing the remaining life diagnosis method according to embodiment 1.
Fig. 6 is a functional block diagram of the control unit shown in fig. 5.
Fig. 7 is a diagram showing the recording data in the actual results database.
Detailed Description
Hereinafter, embodiments will be described in detail with reference to the drawings. The same or corresponding parts are denoted by the same reference numerals, and the description thereof will not be repeated.
Embodiment 1.
Fig. 1 is a cross-sectional view schematically showing the structure of a switching device shown as one example of power receiving and distribution equipment. The switching device 49 is composed of main circuit structural members such as a disconnector, a circuit breaker, a bus bar, and a conductor supported by an insulator, and a measuring apparatus.
The switching device 49 includes disconnectors 50a, 50b having operating mechanisms 51a, 51b and mold frames 55a, 55b, connection conductors 53a, 54a, 53b, 54b supported by insulators 58, a bus bar support plate 56 that supports three horizontal bus bars 52 corresponding to each phase of three-phase alternating current together, and the like.
The operating mechanism 51a incorporating the cutter 50a and the mold frame 55a of the cutter (not shown) are configured to be mounted on the carriage 61a, and are disposed so as to be movable in the left-right direction in fig. 1. One end of the upper connection conductor 53a is electrically connected to the cable 57a, and the other end is electrically connected to the upper terminal of the upper disconnector 50 a. One end of the connection conductor 54a is connected to the lower terminal of the upper disconnector 50a, and the other end is electrically connected to the lower connection conductor 53b via a horizontal bus bar supported on the bus bar support plate 56. One end of the lower connection conductor 54b is connected to the lower terminal of the lower disconnector 50b, and the other end is electrically connected to the cable 57b.
The materials of the mold frames 55a and 55b, the bus bar support plate 56, and the insulator 58, which are the insulators to be diagnosed for the remaining life of the present application, include polyester resin, epoxy resin, and phenolic resin.
The detection sensor 10 is a humidity sensor or the like, and is disposed near an insulator that is a diagnosis target. In fig. 1, the detection sensor 10 is disposed near the mold frame 55b at the lower portion of the switching device 49. In embodiment 1, the insulation to be diagnosed for the remaining life is the mold frames 55a, 55b, the bus bar support plate 56, or the insulator 58.
The remaining life diagnosis method of an insulator used in a power receiving and distribution equipment according to embodiment 1 of the present application is a remaining life diagnosis method that obtains the remaining life of the power receiving and distribution equipment without performing on-site measurement and sample collection and analysis at the installation site of the power receiving and distribution equipment, using information of a plurality of power receiving and distribution equipment installed and stored in a database different from the database, and information on characteristics of the insulator stored in the database, as estimated values corresponding to on-site measurement data values.
The outline steps of the remaining life diagnosis method of the present application are as follows.
A detection sensor capable of detecting any one or more of evaluation items (temperature, humidity, NOx amount, SOx amount, leakage current, and discharge current) affecting deterioration of an insulator is provided in a power receiving and distribution apparatus (step S1).
Next, information on the installation environment of the detection sensor ((I) the type of business of the office where the power receiving and distributing equipment is installed, (II) the characteristics of the surrounding area, (III) the type of insulator used in the power receiving and distributing equipment, (IV) the rated voltage of the power receiving and distributing equipment, (V) the air conditioning equipment where the power receiving and distributing equipment is installed, (VI) the environment in the building, (VII) the environment in the object power receiving and distributing equipment, (VII) the cleaning state of the power receiving and distributing equipment, and (IX) the number of years of use of the power receiving and distributing equipment) is checked against the actual results database 116 obtained by correlating the information of the insulator for which the residual life diagnosis has been conventionally performed with the installation environment, and a similar installation environment is searched (step S2).
The surface resistivity at the time of installation of the detection sensor is estimated from the value of the surface resistivity of the insulator at the time of past diagnosis in a similar installation environment. The estimated value is correlated with the data of the number of years of use of 0 year to obtain a relational expression of the number of years of use and the surface resistivity (step S3).
The surface resistivity corresponding to the service life is sequentially obtained from the data continuously obtained by the detection sensor and the step S3 described above using the basic experiment database 117 in which the correlation between the item evaluated by the detection sensor and the surface resistivity is recorded (step S4).
The age is calculated from the correlation obtained in step S4 and a predetermined threshold value. The predetermined threshold value is set in advance to the maximum value of the surface resistivity of the insulator in which discharge occurs at a predetermined humidity (step S5).
The remaining life is calculated by subtracting the number of years of use of the power receiving/distribution equipment at the time of setting the detection sensor or at the measurement time point of the detection sensor from the number of years of life calculated in step S5 (step S6).
Next, details of the remaining life diagnosis method according to embodiment 1 will be described with reference to fig. 2, 3, and 4. Fig. 2 shows a flowchart of basic remaining life diagnosis. In the present embodiment, as described above, in 6 steps S1 to S6, the remaining life of the insulator used in the power receiving and distribution equipment is diagnosed.
In step S1 of the present embodiment, a detection sensor (humidity sensor) 10 capable of detecting "humidity", which is one of items affecting deterioration of an insulator, is provided in the switching device 49. In the present embodiment, the detection target is described with reference to fig. 3 and 4 by using humidity, but the detection targets described in embodiments 2 to 7 may be described with the same image.
In step S2, information on the installation environment of the detection sensor (humidity sensor) 10 ((I) the service type of the office where the power receiving and distributing equipment is installed, (II) the characteristics of the surrounding area, (III) the type of the insulator used in the power receiving and distributing equipment, (IV) the rated voltage of the power receiving and distributing equipment, (V) the air conditioning equipment where the power receiving and distributing equipment is installed, (VI) the environment in the building, (VII) the environment in the object power receiving and distributing equipment, (VII) the clean state of the power receiving and distributing equipment, and (IX) the number of years of use of the power receiving and distributing equipment) is collated (9 conditions are input and table (table) search is performed) with the database 116 of results obtained by relating and database the information of the insulator used in the plurality of power receiving and distributing equipment which is shipped to a plurality of users and has been conventionally subjected to the residual life diagnosis, and similar installation environments are searched and extracted.
In step S3, the surface resistivity E (E in fig. 3) at the time of installation of the detection sensor 10 is estimated from the value of the surface resistivity of the insulator at the time of the past diagnosis in the similar installation environment (estimated surface resistivity). Next, as shown in fig. 3, the estimated value E of the surface resistivity when the detection sensor (humidity sensor) 10 is installed is correlated with the surface resistivity F of the years of use of 0 years, thereby generating a use years-surface resistivity relationship line P, that is, a "first relationship between years of use and surface resistivity".
In step S4, the surface resistivity is sequentially obtained for the years of use using the basic experiment database 117 storing data of the correlation between the evaluation item (humidity in embodiment 1) detected by the detection sensor (humidity sensor) 10 through the conventional experiment and the surface resistivity, and using the evaluation item data (humidity) continuously obtained by the detection sensor (humidity sensor) 10 and the characteristic map (first relational expression of years of use versus surface resistivity) of fig. 3 generated in step S3.
The specific description will be given with reference to fig. 3 and 4. In fig. 3, the value a of the surface resistivity at a certain use period X is obtained by searching the actual result database 116, and is therefore an estimated value (estimated surface resistivity) based on actual data in an environment similar to the installation environment of the power receiving and distribution equipment. In fig. 4, the estimated value a is a value C (for example, relative humidity 50% rh) of a certain constant reference evaluation item (humidity) at the time of conventional diagnosis, and thus the actual installation environment (influence of the humidity level) is not considered. In addition, S3 to S5 of fig. 3 show portions related to steps S3 to S5 described in fig. 2.
For this reason, for some insulators having different degrees of deterioration, a basic experiment database 117 is used, which is obtained by database-forming the change characteristics of the surface resistivity (correlation between the value of the evaluation item (humidity) and the surface resistivity) when the relative humidity is changed from 100% rh to a predetermined relative humidity (for example, 0% rh). Regarding the surface resistivity related to the degree of deterioration of the insulator and the size of the evaluation item (humidity), these images are shown in fig. 4 for some patterns registered in the basic experiment database 117.
Fig. 4 is a graph illustrating the relationship between relative humidity (RH%) and surface resistivity. As shown in fig. 4, the surface resistivity of the insulator varies greatly with relative humidity. Three curves are shown in fig. 4, wherein the upper curve L1 shows less degradation and the lower curve L3 shows the degradation progress. As is clear from fig. 4, even at the same relative humidity, the surface resistivity becomes lower as the deterioration progresses in the insulator. Further, even in the same insulating material, if the relative humidity is high, the surface resistivity tends to be lowered. For example, in the curve L2 of fig. 4, the surface resistivity of the value C of the humidity is a, but when the humidity rises to D of the curve L2, the surface resistivity drops to B.
The actual humidity in the setting environment of the switching device 49 can be detected by using the detection sensor (humidity sensor) 10, and the surface resistivity B in this environment corresponding to the value (humidity) D of the evaluation item of the detection sensor (humidity sensor) 10 at this time can be found by using the basic experiment database 117. By using the surface resistivity B thus obtained, the relationship of the above step S3 (straight line P of the graph of fig. 3) is sequentially corrected, and the correlation of the years of use-surface resistivity (second relational expression of years of use-surface resistivity) in consideration of the actual environment (humidity) is obtained.
For example, the "first relation of years of use-surface resistivity" (straight line P of the graph of fig. 3) obtained by the method described above in fig. 3 is a temporary relation, and then the surface resistivity B in this environment corresponding to the value (humidity) D of the evaluation item actually detected by the detection sensor 10 is obtained by the method shown in fig. 4.
In this way, 4 plotted points (G1, H1, J1, K1) shown in S4 in fig. 3 are distributed (G2, H2, J2, K2) offset in the upward direction or the downward direction with respect to the relation straight line P of years of use versus surface resistivity. In view of the distribution of the displacement, in fig. 3, a straight line which decreases rightward according to the number of years of use, that is, an upper straight line Q or a lower straight line R is drawn with the surface resistivity E at the time of setting the detection sensor 10 as a base point. The straight line Q or the straight line R newly becomes a "second relation of years of use to surface resistivity".
Thereafter, the "second relation of years of use-surface resistivity" also continues thereafter, the surface resistivity B in the environment (corrected using the data of the basic experiment database 117) corresponding to the value (humidity) D of the evaluation item actually detected by the detection sensor 10 as shown in fig. 4 is found, and appropriate correction is made according to the drawing condition on fig. 3 to obtain a new "second relation of years of use-surface resistivity".
As described above, in fig. 3, a straight line P, Q, R indicating the relationship between the number of years of use and the surface resistivity is included in the concept of the relational expression.
In step S5, the age is calculated from the correlation obtained in step S4 and a predetermined threshold. Specifically, in fig. 3, a point at which a value indicated by a broken line M (threshold value) traveling in the left-right direction of the graph intersects with the straight line P, Q, R is a lifetime point. The distance between the life point and the vertical axis at the left end of the graph is the years of life.
The predetermined threshold value is set in advance to the maximum value of the surface resistivity of the insulator in which discharge occurs at a predetermined humidity.
Finally, in step S6, the number of years of use of the power receiving and distribution equipment at the time of setting the detection sensor 10 is subtracted from the number of years of life calculated in step S5, thereby calculating the remaining life. In fig. 3, the years of use of the power receiving and distribution equipment when the detection sensor 10 is provided is the distance from the point E to the vertical axis at the left end of the graph. Therefore, the remaining life obtained is the horizontal distance between the point E and the point at which the value indicated by the broken line (threshold value) running in the left-right direction of the graph intersects the straight line P, Q, R.
Through the above steps, when the remaining life diagnosis of the power receiving and distributing equipment is performed using the detection sensor (humidity sensor) 10, there is no need to power down the power receiving and distributing equipment, and there is no need to take time and effort for field measurement and sample sampling for obtaining the value thereof and analysis after carrying back, so that the remaining life diagnosis of the insulator used in the power receiving and distributing equipment can be easily performed.
Fig. 5 is a schematic configuration diagram of a system for performing the remaining life diagnosis method according to embodiment 1. Referring to fig. 5, the remaining life diagnosis device 100 is implemented as a control board whose operation is controlled by a program recorded in a recording medium such as a ROM. However, the control board is one embodiment of the remaining life diagnosis device 100, and the hardware configuration of the remaining life diagnosis device 100 is not particularly limited.
The remaining life diagnosis apparatus 100 includes an input unit 101, a storage unit 102, a control unit 103, and an output unit 104.
The input unit 101 includes an input device such as a keyboard and a mouse, or a tablet computer. The input section 101 receives input of various data required for the remaining life of the diagnosis object insulator 55 (for example, the mold frame 55 a), and transmits the input data to the storage section 102. For example, data of humidity-surface resistivity characteristics are input before diagnosing the remaining life. Further, a predetermined voltage (for example, 100V) is applied to the detection sensor 10 by the measuring device 20, and an output value from the detection sensor 10 is measured by the measuring device 20. The measured value transmitted from the measuring instrument 20 is input to the input unit 101.
The storage unit 102 is a storage device including, for example, a ROM (Read Only Memory), a RAM (Random Access Memory: random access Memory), a hard disk, and the like, and stores various data such as a program for implementing the remaining lifetime diagnosis method, humidity-surface resistivity characteristics, and data related to the detection sensor 10 for calculating the surface resistivity from the measured values. Further, the storage unit 102 stores various data input to the input unit 101.
The control unit 103 is implemented by, for example, a Microprocessor (MPU), reads a program stored in the storage unit 102, and executes a process related to the remaining lifetime diagnosis according to steps described in the program. The output unit 104 outputs the diagnosis result of the remaining lifetime obtained by the control unit 103 to the external output device 105. For example, the output device may include a wireless device, a printer, a display, or both.
Fig. 6 is a functional block diagram of the control unit shown in fig. 5.
The description will be given with reference to fig. 6. The control unit 103 includes a similar case extracting unit 111, a relation generating unit 112 of years-surface resistivity, a relation correcting unit 113 of years-surface resistivity, a years-of-life calculating unit 114, and a remaining life calculating unit 115.
The similar case extracting unit 111 checks (inputs 9 conditions and performs table search) a similar setting environment and extracts the setting environment by correlating information on the setting environment of the detection sensor (humidity sensor) 10 ((I) the type of service of a business where the power receiving and distributing equipment is set, (II) characteristics of a surrounding area, (III) the type of insulation used in the power receiving and distributing equipment, (IV) rated voltage of the power receiving and distributing equipment, (V) air conditioning equipment where the power receiving and distributing equipment is set, (VI) environment in a building, (VII) environment in the object power receiving and distributing equipment, (VII) clean state of the power receiving and distributing equipment, and (IX) the number of years of use of the power receiving and distributing equipment with information on insulation used in a plurality of power receiving and distributing equipment which has been shipped to a plurality of users and has been conventionally subjected to residual life diagnosis. That is, the process of step S2 is performed.
The relation generating unit 112 using years-surface resistivity estimates the surface resistivity E (E in fig. 3) when the detection sensor 10 is installed (estimated surface resistivity) from the value of the surface resistivity of the insulator at the time of the past diagnosis in the similar installation environment. Next, as shown in fig. 3, the estimated value E of the surface resistivity when the detection sensor 10 is installed is correlated with the surface resistivity F of the years of use of 0 years, thereby generating a relation straight line P of years of use-surface resistivity, that is, "first relation of years of use-surface resistivity". That is, the process of step S3 is performed.
The use years-surface resistivity relational expression correction unit 113 uses the basic experiment database 117 that stores data of the correlation between the evaluation item (humidity in embodiment 1) detected by the detection sensor 10 through the conventional experiment and the surface resistivity, and sequentially obtains the surface resistivity for the number of use years using the evaluation item data (humidity) continuously obtained by the detection sensor 10 and the characteristic map of fig. 3 (first relational expression of use years-surface resistivity) generated in the above step S3. By appropriately repeating this step, the "first relation of years of use-surface resistivity" generated in step S3 is appropriately corrected to generate the "second relation of years of use-surface resistivity". That is, the process of step S4 is performed.
The lifetime years calculation unit 114 calculates the lifetime years from the "second relation of lifetime years to surface resistivity" corrected and generated by the lifetime years to surface resistivity relation correction unit 113 described above and a predetermined threshold value. That is, the process of step S5 is performed.
The remaining life calculating unit 115 calculates the remaining life by subtracting the years of use of the power receiving and distributing equipment when the detection sensor 10 is installed from the years of life calculated by the years of life calculating unit 114. That is, the process of step S6 is performed.
Fig. 7 shows an example of the recording data recorded in the actual results database 116.
Embodiment 2.
Next, embodiment 2 of the present application will be described. In embodiment 1 of the present application, the remaining lifetime diagnosis is performed by using a humidity sensor as the detection sensor 10 without taking time and effort, but a NOx sensor capable of quantifying the NOx amount may be used as the detection sensor 10.
The remaining life diagnosis flow is performed in the same manner as in fig. 2, but step S4 is performed only in the following manner. The following values a to D are considered in the same manner as shown in fig. 3 and 4.
When the NOx sensor is used, if the surface resistivity at a certain use period X is a in step S4, the value a is an estimated value based on the use period-surface resistivity in step S3 obtained by searching using the actual result database 116. Since the estimated value a is a value at the time of the value C of a certain constant evaluation item (NOx amount) at the time of the conventional diagnosis, the actual installation environment (influence of NOx) is not considered. Thus, the basic experiment database 117 that records the correlation between the value of the evaluation item obtained by the detection sensor 10 and the surface resistivity is utilized. The NOx amount in the actual installation environment is detected by the NOx sensor, and the surface resistivity B in the environment is found from the value (NOx amount) D of the evaluation item of the detection sensor 10 at this time. Using the obtained B, the relationship of step S3 is sequentially corrected, thereby obtaining a correlation between years of use and surface resistivity in consideration of the actual environment (NOx amount).
Through the above steps, even in the case of using the NOx sensor as the detection sensor 10, when the remaining life diagnosis of the power receiving and distributing equipment is performed, it is unnecessary to take time and effort for field measurement and sample sampling for obtaining the value thereof and analysis after carrying back, and therefore, the remaining life diagnosis of the insulator used in the power receiving and distributing equipment can be efficiently performed.
Embodiment 3.
Next, embodiment 3 will be described. In embodiment 1 of the present application, the method of performing the remaining life diagnosis without taking time and effort by using the humidity sensor as the detection sensor 10 is exemplified, and in embodiment 2 of the present application, the method of performing the remaining life diagnosis without taking time and effort by using the NOx sensor as the detection sensor 10 is exemplified, but an SOx sensor capable of quantifying the amount of SOx may be used as the detection sensor 10.
The remaining life diagnosis flow is performed in the same manner as in fig. 2, but step S4 is performed only in the following manner. The following values a to D are considered in the same manner as shown in fig. 3 and 4.
When the SOx sensor is used, if the surface resistivity is a for a certain number of years X in step S4, the value a is an estimated value based on the number of years of use—surface resistivity in step S3 obtained by searching using the actual results database 116. Since the estimated value a is a value at the time of the value C of a certain constant evaluation item (SOx amount) at the time of the conventional diagnosis, the actual setting environment (influence of SOx) is not considered. Thus, the basic experiment database 117 that records the correlation between the value of the evaluation item obtained by the detection sensor 10 and the surface resistivity is utilized. The SOx amount in the actual installation environment is detected by the SOx sensor, and the surface resistivity B in the environment is obtained from the value (SOx amount) D of the evaluation item of the detection sensor at this time. Using the obtained B, the relationship of step S3 is sequentially corrected, thereby obtaining a correlation between years of use and surface resistivity in consideration of the actual environment (SOx amount).
Through the above steps, even in the case of using the SOx sensor as the detection sensor, when the remaining life diagnosis of the power receiving and distributing equipment is performed, it is not necessary to take time and effort for field measurement and sample sampling for obtaining the value thereof and analysis after carrying back, and therefore, the remaining life diagnosis of the insulator used in the power receiving and distributing equipment can be efficiently performed.
Embodiment 4.
Next, embodiment 4 will be described. In embodiment 1 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a humidity sensor as the detection sensor 10 is exemplified, and in embodiment 2 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a NOx sensor as the detection sensor 10 is exemplified, and in embodiment 3 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using an SOx sensor as the detection sensor 10 is exemplified, but a leak current sensor capable of quantifying leak current may be used as the detection sensor 10.
The remaining life diagnosis flow is performed in the same manner as in fig. 2, but step S4 is performed only in the following manner. The following values a to D are considered in the same manner as shown in fig. 3 and 4.
When the leakage current sensor is used, in step S4, when the surface resistivity at a certain number of years X is set to a, the value a is an estimated value based on the number of years of use—surface resistivity in step S3 obtained by searching using the actual results database 116. Since the estimated value a is a value at the time of the value C of a certain constant evaluation item (leakage current amount) at the time of the conventional diagnosis, the actual installation environment (influence of leakage current) is not considered. Thus, the basic experiment database 117 that records the correlation between the value of the evaluation item obtained by the detection sensor 10 and the surface resistivity is utilized. The amount of leakage current in the actual installation environment is detected by using the leakage current sensor, and the surface resistivity B in the environment is found from the value (leakage current amount) D of the evaluation item of the detection sensor at this time. Using the obtained B, the relationship of step S3 is sequentially corrected, thereby obtaining a correlation between years of use and surface resistivity in consideration of the actual environment (leakage current amount).
Through the above steps, even in the case of using the leakage current sensor as the detection sensor, when the remaining life diagnosis of the power receiving and distribution equipment is performed, it is unnecessary to take time and effort for field measurement and sample sampling for obtaining the value thereof and analysis after carrying back, and therefore, the remaining life diagnosis of the insulator used in the power receiving and distribution equipment can be efficiently performed.
Embodiment 5.
Next, embodiment 5 will be described. In embodiment 1 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a humidity sensor as the detection sensor 10 is exemplified, in embodiment 2 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a NOx sensor as the detection sensor 10 is exemplified, in embodiment 3 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using an SOx sensor as the detection sensor 10 is exemplified, and in embodiment 4 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a leak current sensor as the detection sensor 10 is exemplified, but a temperature sensor (thermometer) capable of quantifying the temperature may be used as the detection sensor 10. The remaining life diagnosis flow is performed in the same manner as in fig. 1, but step S4 is performed only in the following manner. The following values a to D are considered in the same manner as shown in fig. 3 and 4.
When the temperature sensor (thermometer) is used, in step S4, when the surface resistivity at a certain number of years X is set to a, the value a is an estimated value based on the number of years-of-use surface resistivity in step S3 obtained by searching using the actual results database 116. Since the estimated value a is a value at the time of the value C of a certain constant evaluation item (temperature) at the time of the conventional diagnosis, the actual installation environment (influence of temperature) is not considered. Thus, the basic experiment database 117 that records the correlation between the value of the evaluation item obtained by the detection sensor 10 and the surface resistivity is utilized. The temperature in the actual installation environment is detected by a temperature sensor (thermometer), and the surface resistivity B in the environment is found from the value (temperature) D of the evaluation item of the detection sensor 10 at this time. Using the obtained B, the relation of step S3 is sequentially corrected, thereby obtaining a correlation between years of use and surface resistivity in consideration of the actual environment (temperature).
Through the above steps, even when a temperature sensor (thermometer) is used as the detection sensor 10, it is unnecessary to take time and effort for on-site measurement and sampling for obtaining the value thereof and analyzing after being carried back when the remaining life diagnosis of the power receiving and distribution equipment is performed, and therefore, the remaining life diagnosis of the insulator used in the power receiving and distribution equipment can be efficiently performed.
Embodiment 6.
Next, embodiment 6 will be described. In embodiment 1 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a humidity sensor as the detection sensor 10 is exemplified, in embodiment 2 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a NOx sensor as the detection sensor 10 is exemplified, in embodiment 3 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using an SOx sensor as the detection sensor 10 is exemplified, in embodiment 4 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a leakage current sensor as the detection sensor 10 is exemplified, and in embodiment 5 of the present application, a method of performing the remaining life diagnosis without taking time and effort by using a temperature sensor (thermometer) as the detection sensor 10 is exemplified, but a discharge sensor (discharge detector) capable of detecting discharge may be used as the detection sensor 10. As the discharge sensor (discharge detector), there are a discharge current sensor capable of quantifying a discharge current, or a discharge sensing sensor that detects electromagnetic waves emitted by discharge.
In the case of using a discharge current sensor (discharge detector), diagnosis is performed in the same manner as the NOx sensor, SOx sensor, leakage current sensor, and temperature sensor (thermometer). The remaining life diagnosis flow is performed in the same manner as in fig. 2, but step S4 is performed only in the following manner. The following values a to D are considered in the same manner as shown in fig. 3 and 4.
In addition, in the case of using the discharge sensing sensor, although the discharge current cannot be measured, the occurrence and presence of the discharge can be grasped, and the occurrence of the discharge can be grasped and reflected in the deterioration monitoring content of the insulator.
When the discharge current sensor (discharge detector) is used, in step S4, when the surface resistivity at a certain use period X is set to a, the value a is an estimated value based on the use period-surface resistivity in step S3 obtained by searching using the actual result database 116. Since the estimated value a is a value at the time of the value C of a certain constant evaluation item (discharge charge amount) at the time of the conventional diagnosis, the actual installation environment (influence of the discharge current) is not considered. Thus, the basic experiment database 117 that records the correlation between the value of the evaluation item obtained by the detection sensor 10 and the surface resistivity is utilized. The temperature in the actual installation environment is detected by a discharge current sensor (discharge detector), and the surface resistivity B in the environment is found from the value (discharge charge amount) D of the evaluation item of the detection sensor 10 at this time. Using the obtained B, the relationship of step S3 is sequentially corrected, thereby obtaining a correlation between years of use and surface resistivity in consideration of the actual environment (discharge charge amount). In addition, in the case of using a discharge current sensor (discharge detector), since the detection start time point is a partial discharge start time point, the threshold value can be set to the surface resistivity of the insulator where dielectric breakdown occurs.
Through the above steps, even in the case of using a discharge current sensor (discharge detector) as the detection sensor 10, when the remaining life diagnosis of the power receiving and distribution equipment is performed, it is unnecessary to take time and effort for field measurement and sample sampling for obtaining the value thereof and analysis after carrying back, and therefore, the remaining life diagnosis of the insulator used in the power receiving and distribution equipment can be efficiently performed.
Embodiment 7.
Embodiments 1 to 6 are residual life diagnosis methods in consideration of items affecting insulation performance of an insulator used in power receiving and distribution equipment, but it is not necessary to use each detection sensor individually. By providing a plurality of detection sensors, a plurality of items affecting the insulation performance of the insulator can be considered, and a high-accuracy remaining life diagnosis more corresponding to the environment can be realized. Further, even in the case of using a sensor capable of detecting a plurality of items affecting insulation performance by one detection sensor, it is possible to realize a high-precision remaining life diagnosis more corresponding to the environment.
Several examples are shown as embodiments of the application, but they are merely examples and are not intended to limit the scope of the application.
In embodiments 1 to 6 described above, the switching device is described as an example of the power receiving and distributing device, but the same effects as those of embodiments 1 to 6 described above can be obtained as long as an insulator is used for insulation between the ground or the phase of the power feeding portion of the electric device and the deterioration of the insulating performance of the insulator is diagnosed, not limited to the power receiving and distributing device or the switching device, but applied to all the electric devices.
Examples of the electric devices include power receiving and distributing devices such as a switching device, a transformer, a control device such as a motor control center, a generator, a motor, and a power supply device (an ac power supply device, a dc power supply device, and a rectifier) for supplying power.
The embodiments may be variously omitted, substituted, or modified within a range not departing from the gist of the present invention, and may be implemented in other various manners. The embodiments, which have been omitted, replaced, and modified, are included in the scope and content of the invention, and are included in the scope equivalent to the invention and content described in the claims.
Description of the reference numerals
10: Detection sensor, 20: tester, 49: switching devices, 50a, 50b: cutter, 51a, 51b: operating mechanism, 52: horizontal bus bars, 53a, 54a, 53b, 54b: connection conductor, 55: diagnostic object insulators 55a, 55b: molding frame, 56: busbar support plates 57a, 57b: cable, 58: insulators, 61a, 61b: trolley, 100: residual life diagnosis device, 101: input unit, 102: storage unit, 103: control unit, 104: output unit, 105: output device, 111: similar case extraction section, 112: years-surface resistivity relation generating unit, 113: years-surface resistivity relation correction unit, 114: life year number calculation unit, 115: remaining life calculation unit, 116: actual results database, 117: basic experimental database.
Claims (14)
1. A remaining life diagnosis method of an electrical apparatus including an insulator, the remaining life diagnosis method of the electrical apparatus comprising:
a step of providing a detection sensor for detecting an evaluation item affecting deterioration of an insulator in the electrical equipment;
Extracting the surface resistivity of the insulator of the set electrical equipment similar to the setting environment of the detection sensor from a performance database storing data of the setting environment of the set electrical equipment and the degradation condition of the insulator;
a step of estimating the surface resistivity at the time of setting the detection sensor based on the value of the surface resistivity of the insulator at the time of past diagnosis in the similar setting environment obtained by the extraction to obtain an estimated surface resistivity, and correlating the estimated surface resistivity with the surface resistivity of the insulator extracted from the basic experiment database for the years of use of 0 years to obtain a first relation of the years of use-surface resistivity of the electrical equipment to be diagnosed;
a step of extracting, using the basic experiment database, a surface resistivity corresponding to an actual measurement evaluation item corresponding to a value of the evaluation item continuously obtained by the detection sensor, and obtaining a second relation of years-of-use surface resistivity obtained by correcting the first relation of years-of-use surface resistivity obtained in the step using the surface resistivity corresponding to the actual measurement evaluation item;
A step of setting a predetermined threshold value in the second relational expression and calculating the age of the life; and
And a step of subtracting the number of years of use of the electrical device at the time of setting the detection sensor or at the measurement time point of the detection sensor from the number of years of life calculated in the step to calculate the remaining life.
2. The remaining life diagnosis method of an electrical apparatus according to claim 1, wherein the evaluation item is any one of temperature, humidity, NOx amount, SOx amount, leakage current, and discharge current.
3. The remaining life diagnosis method of an electrical apparatus according to claim 1, wherein the performance database stores surface resistivity of an insulator related to each electrical apparatus that has been set at a use place, and information related to a setting environment or a use state of the electrical apparatus.
4. The remaining life diagnosis method of an electrical device according to claim 1, wherein the information on the setting environment or the use state of the electrical device recorded in the performance database is at least any one of or a combination of the following: (I) The service type of the office where the electric device is installed, (II) the characteristics of the surrounding area, (III) the kind of the insulator used in the electric device, (IV) the rated voltage of the electric device, (V) the air-conditioning device of the place where the electric device is installed, (VI) the environment in the building, the environment in the VII) the object electric device, (VIII) the clean state of the electric device, and (IX) the number of years of use of the electric device.
5. The remaining life diagnosis method of an electrical apparatus according to claim 1, wherein the basic experiment database changes the value of the evaluation item at least for each insulator corresponding to the kind of insulator and each degradation stage, and stores data relating to correlation between surface resistivity corresponding to the change.
6. The remaining life diagnosis method of an electrical apparatus according to claim 1 or 2, wherein the detection sensor uses any one or a combination of a plurality of humidity sensor, NOx sensor, SOx sensor, leakage current sensor, temperature sensor, and discharge current.
7. The remaining life diagnosis method of an electrical apparatus according to claim 1 or 2, wherein the electrical apparatus is any one of a power receiving and distribution apparatus, a transformer, a control device, a generator, a motor, and a power supply device for supplying power.
8. A remaining life diagnosis device of an electrical apparatus including an insulator, the remaining life diagnosis device of the electrical apparatus comprising:
A detection sensor provided in the electrical equipment and configured to detect an evaluation item related to deterioration of the insulator;
A similar case extracting unit that extracts a surface resistivity of an insulator of the set electrical equipment similar to the setting environment of the detection sensor from a performance database storing data of the setting environment of the set electrical equipment and the degradation condition of the insulator;
A use years-surface resistivity relational expression generating unit that estimates a surface resistivity at the time of installation of the detection sensor based on a value of a surface resistivity of an insulator at the time of past diagnosis in a similar installation environment obtained by the extraction, thereby obtaining an estimated surface resistivity, and correlates the estimated surface resistivity with a surface resistivity of the insulator for the use years of 0 years extracted from the basic experiment database, thereby generating a first relational expression of the use years-surface resistivity of the electrical equipment to be diagnosed;
A correction unit that uses a year-surface resistivity relation that uses the basic experiment database to extract a surface resistivity corresponding to an actual measurement evaluation item corresponding to a value of the evaluation item continuously obtained by the detection sensor, corrects the first relation of year-surface resistivity generated by the year-surface resistivity relation generation unit using the surface resistivity corresponding to the actual measurement evaluation item, and generates a second relation of year-surface resistivity;
A lifetime years calculation unit that sets a predetermined threshold in the second relational expression and calculates a lifetime years; and
And a remaining life calculating unit that calculates a remaining life by subtracting the number of years of use of the electrical device at the time of setting the detection sensor or at the measurement time point of the detection sensor from the number of years of life calculated by the number of years of life calculating unit.
9. The remaining life diagnosis apparatus of the electrical device according to claim 8, wherein the evaluation item is any one of temperature, humidity, NOx amount, SOx amount, leakage current, and discharge current.
10. The remaining life diagnosis apparatus of the electrical equipment according to claim 8, wherein the performance database stores surface resistivity of an insulator related to each electrical equipment that has been set at a use site, and information related to a setting environment or a use state of the electrical equipment.
11. The remaining life diagnosis apparatus of an electrical device according to claim 8, wherein the information on the setting environment or the use state of the electrical device recorded in the performance database is at least any one of or a combination of the following: (I) The service type of the office where the electric device is installed, (II) the characteristics of the surrounding area, (III) the kind of the insulator used in the electric device, (IV) the rated voltage of the electric device, (V) the air-conditioning device of the place where the electric device is installed, (VI) the environment in the building, the environment in the VII) the object electric device, (VIII) the clean state of the electric device, and (IX) the number of years of use of the electric device.
12. The remaining life diagnosis apparatus of an electrical device according to claim 8, wherein the basic experiment database changes the value of the evaluation item at least for each insulator corresponding to the kind of insulator and each degradation stage, and stores data relating to correlation between surface resistivity corresponding to the change.
13. The remaining life diagnosis apparatus of an electrical device according to claim 8 or 9, wherein the detection sensor uses any one or a combination of a plurality of humidity sensor, NOx sensor, SOx sensor, leakage current sensor, temperature sensor, and discharge current.
14. The remaining life diagnosis apparatus of an electrical device according to claim 8 or 9, wherein the electrical device is any one of a power receiving and distribution device, a transformer, a control device, a generator, a motor, a power supply device for supplying power.
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| PCT/JP2019/005003 WO2020165961A1 (en) | 2019-02-13 | 2019-02-13 | Method and device for diagnosing remaining life of electric device |
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| WO2020165961A1 (en) | 2020-08-20 |
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