WO2021256359A1 - 予兆判定装置、予兆判定方法及びプログラム - Google Patents

予兆判定装置、予兆判定方法及びプログラム Download PDF

Info

Publication number
WO2021256359A1
WO2021256359A1 PCT/JP2021/022044 JP2021022044W WO2021256359A1 WO 2021256359 A1 WO2021256359 A1 WO 2021256359A1 JP 2021022044 W JP2021022044 W JP 2021022044W WO 2021256359 A1 WO2021256359 A1 WO 2021256359A1
Authority
WO
WIPO (PCT)
Prior art keywords
value
sign
parameter
evaluation parameters
evaluation
Prior art date
Application number
PCT/JP2021/022044
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
靖 森下
隆 園田
和弘 露木
尚之 永渕
Original Assignee
三菱パワー株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱パワー株式会社 filed Critical 三菱パワー株式会社
Publication of WO2021256359A1 publication Critical patent/WO2021256359A1/ja

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • 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
    • G01R31/34—Testing dynamo-electric machines

Definitions

  • the present disclosure relates to a sign determination device, a sign determination method and a program.
  • the present application claims priority with respect to Japanese Patent Application No. 2020-102907 filed in Japan on June 15, 2020, the contents of which are incorporated herein by reference.
  • Patent Document 1 describes the motor based on the reference amplitude probability density function obtained from the reference sinusoidal signal waveform of the rated current of the motor and the amplitude probability density function at the time of inspection obtained from the current waveform during operation of the motor.
  • a technique for diagnosing an abnormality of an electric motor for determining whether or not there is an abnormality is disclosed.
  • Patent Document 2 the current signal during operation of the motor is sampled, filtered by a high-pass filter, and then fast Fourier transform is performed on the time-series signal of the current subjected to the envelope processing, and the peak group of the spectrum is performed.
  • Disclosed is a technique for detecting an abnormality in a bearing of a gear of a rotary mechanical system or an abnormality in meshing of the gear by detecting the above.
  • An object of the present disclosure is to provide a sign determination device, a sign determination method and a program for solving the above-mentioned problems.
  • the sign determination device includes a measurement result acquisition unit that acquires the measurement result of the current flowing through the motor, a parameter acquisition unit that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of evaluation parameters. , The first specific part that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the second specific part that specifies the maximum value among the values corresponding to the plurality of specified evaluation parameters.
  • a determination unit for determining whether or not there is a sign of abnormality in the motor is provided by comparing the specified maximum value with a preset threshold value.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in, specifying the maximum value among the values corresponding to the specified plurality of evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the motor in light of the threshold value.
  • the program according to the present disclosure is to acquire the measurement result of the current flowing through the motor of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluations for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It is executed as a judgment as to whether or not there is a sign of abnormality of the electric motor in light of the threshold value.
  • only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
  • the sign determination system 1 determines a sign of abnormality in the electric motor 11.
  • FIG. 1 is a diagram showing a configuration of a sign determination system 1 according to the first embodiment.
  • the sign determination system 1 includes a power source 10, an electric motor 11, an electric wire 12, a load 13, a measuring instrument 16, a converter 17, and a sign determination device 100.
  • the electric power source 10 supplies an electric current to the electric motor 11 via the electric wire 12.
  • the electric motor 11 receives a current from the power source 10 via the electric wire 12.
  • the electric motor 11 that has received the electric current rotates the shaft 14A included in the electric motor 11 to rotate the shaft 14B included in the load 13.
  • the shaft 14B is rotated by the motor 11. That is, the load 13 is driven by the electric motor 11. Further, the load 13 includes a bearing 15A and a bearing 15B that support the shaft 14B. Lubricating oil is supplied to the bearings 15A and 15B. The lubricating oil reduces the friction between the bearing 15A and the bearing 15B and the shaft 14B.
  • the measuring instrument 16 measures the current flowing through the electric wire 12. That is, the measuring instrument 16 measures the current flowing through the electric motor 11 via the electric wire 12.
  • An example of the measuring instrument 16 is a current transducer (CT).
  • CT current transducer
  • the measuring instrument 16 measures the current and acquires an analog current waveform.
  • the converter 17 converts the analog current waveform acquired by the measuring instrument 16 into digital current data.
  • the converter 17 transmits the converted digital current data to the sign determination device 100. That is, the converter 17 transmits the measurement result of the current flowing through the electric motor 11 to the sign determination device 100.
  • the sign determination device 100 determines whether or not there is a sign of abnormality in the electric motor 11.
  • abnormalities of the motor 11 include a change in the shape of the shaft 14B due to friction between the shaft 14B and the bearing 15A and the bearing 15B, a change in the shape of the bearing 15A and the bearing 15B, and a deterioration of the motor 11 or the load 13 over time or the shaft 14B due to rust.
  • the shape change or the shape change of the bearing 15A and the bearing 15B can be mentioned.
  • FIG. 2 is a schematic block diagram showing the configuration of the sign determination device 100.
  • the sign determination device 100 includes a measurement result acquisition unit 101, a parameter acquisition unit 102, a first specific unit 103, a correction unit 104, a second specific unit 105, a determination unit 106, and an output unit 107.
  • the measurement result acquisition unit 101 acquires the digital current data transmitted from the converter 17. That is, the measurement result acquisition unit 101 acquires the measurement result of the current flowing through the electric motor 11.
  • the measurement result is digital current data.
  • the parameter acquisition unit 102 analyzes the measurement result by FFT (Fast Fourier Transform) and acquires a plurality of evaluation parameters. For example, the parameter acquisition unit 102 acquires the Lpole parameter, the Irms parameter, the IHD parameter, and the THD parameter as evaluation parameters.
  • FFT Fast Fourier Transform
  • the Lpole parameter is a parameter representing the state of the rotor (not shown) included in the motor 11.
  • the Lpole parameter is the value of the peak of the sideband wave of the current spectrum at a frequency position separated by a predetermined frequency from the current spectrum peak in the frequency spectrum obtained by converting the current signal into the frequency domain.
  • the sideband wave related to the Lpole parameter is a sideband wave that fluctuates due to the pole passing frequency of the motor 11.
  • the Irms parameter is a parameter for monitoring the load 13.
  • the Irms parameter is a current effective value that can be obtained by dividing the sum of squares of the current values at each sampling timing by the number of sampling timings and obtaining the square root thereof.
  • the IHD parameter is the ratio of the maximum harmonic component of the current signal to the power supply frequency component.
  • the IHD parameter can be obtained by extracting the harmonic component from the current signal and dividing the maximum value within the preset order of the harmonic component by the effective value of the power supply frequency.
  • the THD parameter is the ratio of the total harmonic component of the current signal to the power frequency component.
  • the THD parameter can be obtained by extracting harmonic components from the current signal and dividing the square root of the sum of squares of each harmonic component within a preset order by the effective power frequency of the current signal.
  • the above IHD parameter and THD parameter are both parameters representing the quality of the power source 10.
  • the first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters.
  • Examples of the peak value of the sideband wave include the Lshaft parameter and the Lpole parameter.
  • the value of the peak of the sideband wave is an example of the value corresponding to the evaluation parameter.
  • the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
  • the correction unit 104 corrects the peak value of the sideband wave specified by the first specific unit 103 based on the correction value set in advance.
  • the correction value is set according to the operating condition of the plant in which the sign determination system 1 is provided. For example, the correction unit 104 calculates each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified by the first specific unit 103, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value. to correct.
  • the correction value is set to a different value for each evaluation parameter. Further, the correction value is set to a different value depending on the measurement result acquired by the measurement result acquisition unit 101. Further, the correction value is set so that a sign of an abnormality due to deterioration over time and a sign of an abnormality that occurs suddenly can be classified.
  • the second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave. For example, the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
  • the determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11. For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11.
  • the threshold value may be a different value depending on the measurement result acquired by the measurement result acquisition unit 101. For example, the threshold value may be a different value for each frequency.
  • the output unit 107 outputs the content determined by the determination unit 106 and the maximum value specified by the second identification unit 105 to the notification device (not shown) provided in the sign determination system 1.
  • the notification device include a display device and a speaker.
  • the signal output by the output unit 107 include a signal indicating an image and a signal related to audio.
  • the display device displays the determined content and the specified maximum value to the user of the sign determination system 1.
  • the user of the sign determination system 1 can confirm the determined content.
  • the user of the sign determination system 1 can confirm the specified maximum value. Thereby, the user of the sign determination system 1 can evaluate the electric motor 11 based on the maximum value.
  • FIG. 3 is a flowchart showing the operation of the sign determination system 1.
  • the measuring instrument 16 measures the current and acquires an analog current waveform (step S1).
  • the converter 17 converts the analog current waveform acquired in step S1 into digital data (step S2).
  • the measurement result acquisition unit 101 acquires the measurement result, which is digital data, from the converter 17 (step S3).
  • the parameter acquisition unit 102 acquires evaluation parameters by performing an FFT analysis on the measurement result in step S3 (step S4).
  • the parameter acquisition unit 102 acquires an Irms parameter, an IHD parameter, and a THD parameter, which are evaluation parameters that are not Lpole parameters.
  • the first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the evaluation parameters acquired in step S4 (step S5).
  • the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
  • the correction unit 104 corrects the peak value of the sideband wave specified in step S5 based on the correction value set in advance (step S6). For example, the correction unit 104 corrects each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified in step S5, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value.
  • the second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave (step S7).
  • the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
  • the determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11 (step S8). For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11.
  • the output unit 107 outputs the content determined in step S8 and the maximum value specified in step S7 to a notification device (not shown) provided in the sign determination system 1 (step S9).
  • the notifying device informs the user of the sign determination system 1 of the determined content and the specified maximum value.
  • the sign determination device 100 includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of parameters.
  • the first specifying unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the first specifying the maximum value among the values corresponding to the plurality of specified evaluation parameters. 2
  • the specific unit 105 and a determination unit 106 for determining whether or not there is a sign of abnormality of the motor by comparing the specified maximum value with a preset threshold value are provided.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value of the value obtained by converting a plurality of parameters into predetermined parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the first specific unit 103 of the sign determination device 100 specifies the peak value of the side band wave for each evaluation parameter that is not the peak value of the side band wave among the plurality of evaluation parameters, and the second specific unit 105 determines the value of the peak of the side band wave.
  • the maximum value is specified among the evaluation parameters that are the peak values of the sideband waves and the peak values of a plurality of specified sideband waves.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes a correction unit 104 that corrects the value of the peak of the specified sideband wave based on a preset correction value, and the second specific unit 105 is the peak of the sideband wave. Specify the maximum value among the evaluation parameters that are the values and the peak value of the corrected sideband wave.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
  • the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
  • the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
  • the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
  • the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
  • the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
  • the user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of the threshold value.
  • the user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the program according to the present disclosure is to acquire the measurement result of the current flowing through the motor 11 of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specify the value corresponding to one evaluation parameter included in the evaluation parameter, specify the maximum value among the values corresponding to the specified multiple evaluation parameters, and set the specified maximum value in advance. It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of the set threshold value.
  • the user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
  • FIG. 4 is a schematic block diagram showing the configuration of a computer according to at least one embodiment.
  • the computer 1100 includes a processor 1110, a main memory 1120, a storage 1130, and an interface 1140.
  • the above-mentioned sign determination device 100 is mounted on the computer 1100.
  • the operation of each of the above-mentioned processing units is stored in the storage 1130 in the form of a program.
  • the processor 1110 reads a program from the storage 1130, expands it into the main memory 1120, and executes the above processing according to the program. Further, the processor 1110 secures a storage area corresponding to each of the above-mentioned storage units in the main memory 1120 according to the program.
  • the program may be for realizing a part of the functions exerted by the computer 1100.
  • the program may exert its function in combination with another program already stored in the storage 1130, or in combination with another program mounted on another device.
  • the computer 1100 may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or in place of the above configuration.
  • PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate).
  • PLDs Programmable Logic Device
  • PAL Programmable Array Logic
  • GAL Generic Array Logic
  • CPLD Complex Programmable Logic Device
  • FPGA Field Programmable Gate
  • Examples of the storage 1130 include magnetic disks, magneto-optical disks, semiconductor memories, and the like.
  • the storage 1130 may be internal media directly connected to the bus of computer 1100, or external media connected to the computer via interface 1140 or a communication line.
  • this program is distributed to the computer 1100 via a communication line, the distributed computer 1100 may expand the program to the main memory 1120 and execute the above processing.
  • the storage 1130 is a non-temporary tangible storage medium.
  • the program may be for realizing a part of the above-mentioned functions. Further, the program may be a so-called difference file (difference program) that realizes the above-mentioned function in combination with another program already stored in the storage 1130.
  • difference file difference program
  • the sign determination device 100 includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, and a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result.
  • the first specific unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the maximum value among the values corresponding to the plurality of specified evaluation parameters are set.
  • a second specific unit 105 to be specified and a determination unit 106 for determining whether or not there is a sign of abnormality of the electric motor by comparing the specified maximum value with a preset threshold value are provided.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the first specifying unit 103 of the sign determination device 100 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters, and the second specifying unit 103.
  • Reference numeral 105 specifies the maximum value among the evaluation parameter which is the value of the peak of the sideband wave and the value of the peak of the plurality of specified sideband waves.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes a correction unit 104 that corrects the peak value of the specified side band wave based on a preset correction value, and the second specific unit 105 is a side band wave.
  • the maximum value is specified among the evaluation parameters, which are the peak values of, and the peak values of the corrected sideband waves.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
  • the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
  • the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
  • the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
  • the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
  • the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
  • the user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to acquire a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of a preset threshold value.
  • the user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the computer acquires the measurement result of the current flowing through the motor 11, frequency-analyzes the measurement result to acquire a plurality of evaluation parameters, and obtains a plurality of evaluation parameters for each of the plurality of evaluation parameters. , Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. , It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of a preset threshold value.
  • the user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
  • only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
  • Predictive judgment system 10 Power source 11 Electric wire 12 Electric wire 13 Load 14 Shaft 15 Bearing 16 Measuring instrument 17 Converter 100 Predictive judgment device 101 Measurement result acquisition unit 102 Parameter acquisition unit 103 1st specific unit 104 Correction unit 105 2nd specific unit 106 Judgment unit 107 Output unit 1100 Computer 1110 Processor 1120 Main memory 1130 Storage 1140 Interface

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Control Of Electric Motors In General (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
PCT/JP2021/022044 2020-06-15 2021-06-10 予兆判定装置、予兆判定方法及びプログラム WO2021256359A1 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020102907A JP2021196267A (ja) 2020-06-15 2020-06-15 予兆判定装置、予兆判定方法及びプログラム
JP2020-102907 2020-06-15

Publications (1)

Publication Number Publication Date
WO2021256359A1 true WO2021256359A1 (ja) 2021-12-23

Family

ID=79197641

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/022044 WO2021256359A1 (ja) 2020-06-15 2021-06-10 予兆判定装置、予兆判定方法及びプログラム

Country Status (3)

Country Link
JP (1) JP2021196267A (zh)
TW (1) TWI800847B (zh)
WO (1) WO2021256359A1 (zh)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130013138A1 (en) * 2011-07-06 2013-01-10 Yinghui Lu System and method for predicting mechanical failure of a motor
JP5985099B1 (ja) * 2016-03-31 2016-09-06 株式会社高田工業所 回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置
JP2017181283A (ja) * 2016-03-30 2017-10-05 Ntn株式会社 シングルピニオン式の遊星歯車装置の歯数特定装置および歯数特定方法
WO2018109993A1 (ja) * 2016-12-15 2018-06-21 三菱電機株式会社 動力伝達機構の異常診断装置および動力伝達機構の異常診断方法
JP2018128284A (ja) * 2017-02-06 2018-08-16 三菱日立パワーシステムズ株式会社 状態分析装置、表示方法、およびプログラム

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2307886A2 (en) * 2008-06-26 2011-04-13 Dana-Farber Cancer Institute Inc. Signatures and determinants associated with metastasis and methods of use thereof
JP7178208B2 (ja) * 2018-08-22 2022-11-25 株式会社日立ハイテク 分析システム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130013138A1 (en) * 2011-07-06 2013-01-10 Yinghui Lu System and method for predicting mechanical failure of a motor
JP2017181283A (ja) * 2016-03-30 2017-10-05 Ntn株式会社 シングルピニオン式の遊星歯車装置の歯数特定装置および歯数特定方法
JP5985099B1 (ja) * 2016-03-31 2016-09-06 株式会社高田工業所 回転機械系の異常検知方法、その異常検知方法を用いた回転機械系の異常監視方法、及びその異常監視方法を用いた回転機械系の異常監視装置
WO2018109993A1 (ja) * 2016-12-15 2018-06-21 三菱電機株式会社 動力伝達機構の異常診断装置および動力伝達機構の異常診断方法
JP2018128284A (ja) * 2017-02-06 2018-08-16 三菱日立パワーシステムズ株式会社 状態分析装置、表示方法、およびプログラム

Also Published As

Publication number Publication date
JP2021196267A (ja) 2021-12-27
TW202219479A (zh) 2022-05-16
TWI800847B (zh) 2023-05-01

Similar Documents

Publication Publication Date Title
EP3631205B1 (en) Wind turbine fault detection using acoustic, vibration, and electrical signals
JP5216903B2 (ja) 歯車噛み合い障害検出の側波帯エネルギー比率方法
US7509862B2 (en) System and method for providing vibration detection in turbomachinery
KR101874472B1 (ko) 진동신호의 주파수 에너지를 이용한 회전체 고장 예측 시스템 및 방법
US11255310B2 (en) Wind turbine noise analysis and control
EP3631388B1 (en) A vehicle noise, vibration and harshness (nvh) testing method and system
KR101846195B1 (ko) 모터 상태 모니터링 시스템 및 그 방법
JP2001304954A (ja) 故障診断方法及びその装置
JP2003528292A (ja) 振動解析によるベアリングの状態ベースのモニタリング
US10975849B2 (en) Condition monitoring system and wind turbine including the same
JP6835265B2 (ja) 計測診断装置、及び計測診断方法
Yin et al. Statistical modeling of gear vibration signals and its application to detecting and diagnosing gear faults
EP3605036A1 (en) Vibration analyser, and machine component diagnosis system
TWI687699B (zh) 狀態分析裝置、狀態分析方法、及記錄程式的記憶媒體
JP2012042338A (ja) 転がり軸受の異常診断装置および歯車の異常診断装置
EP2761315B1 (en) A method of determining stationary signals for the diagnostics of an electromechanical system
JP2005233789A (ja) 回転機械の異常診断方法、異常診断装置および異常診断システム
JP7106375B2 (ja) 電力設備機器の劣化診断装置
WO2021256359A1 (ja) 予兆判定装置、予兆判定方法及びプログラム
JP6793565B2 (ja) 状態分析装置、表示方法、およびプログラム
KR20150008516A (ko) 신호 계측 및 진단 시스템과 그 방법
CN112423213A (zh) 麦克风阵列的检测方法及装置
US8396227B2 (en) Method of determining the harmonic and anharmonic portions of a response signal of a device
KR101482511B1 (ko) 위상 지연과 데이터 분포 형상지수를 이용한 베어링 결함 진단 시스템 및 그 진단 방법
JP2006125976A (ja) 機械設備の異常診断システム

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21826083

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21826083

Country of ref document: EP

Kind code of ref document: A1