Research on fault diagnosis of emu inverter based on motor vibration
The safety and reliability of traction inverters are critical to the stable operation of high-speed EMU vehicles. To judge the working state of the inverter, combined with the vehicle system dynamics, a fault diagnosis method of traction inverter based on motor vibration signal analysis was proposed...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2024-01-01
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| Series: | 机车电传动 |
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| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.236 |
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| author | SHI Yixuan MAO Qingzhou DAI Huanyun WANG Qunsheng SHI Xiangyu |
| author_facet | SHI Yixuan MAO Qingzhou DAI Huanyun WANG Qunsheng SHI Xiangyu |
| author_sort | SHI Yixuan |
| collection | DOAJ |
| description | The safety and reliability of traction inverters are critical to the stable operation of high-speed EMU vehicles. To judge the working state of the inverter, combined with the vehicle system dynamics, a fault diagnosis method of traction inverter based on motor vibration signal analysis was proposed. In this method, the motor vibration signal is taken as the monitoring object, and the characteristic signal of abnormal motor vibration caused by current distortion when the inverter is faulty is used to judge. Taking the traction transmission system of CRH2 EMU as an example, the main circuit simulation model of a three-level traction inverter based on the SVPWM strategy was established. Taking the power switch elements as the object, the structural fault modes of the inverter are simulated. The results indicate that inverter faults will significantly affect the harmonic content of the output current on the AC side, especially with a significant increase in the 5th, 7th, 11th, and 13th harmonic content; After these harmonics are input to the traction motor, they are converted into 6P(1-s) and 12P(1-s) frequency doubling pulsating torque that acts on the motor, causing its output vibration to contain corresponding harmonic components of the frequency. By analyzing the vibration signals of the traction motor during the actual operation of high-speed multiple units, it was found that under normal circumstances, there is no obvious presence of such harmonic frequency components; When there is an inverter fault, it will cause the frequency content to be very obvious. Therefore, the vibration signal analysis method proposed in this article can effectively monitor and diagnose the working status of traction inverters and has a certain engineering application value. |
| format | Article |
| id | doaj-art-7597e3a4a7e64e16b8ca69baefe64ca3 |
| institution | Kabale University |
| issn | 1000-128X |
| language | zho |
| publishDate | 2024-01-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-7597e3a4a7e64e16b8ca69baefe64ca32025-08-20T03:52:51ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2024-01-011956193450Research on fault diagnosis of emu inverter based on motor vibrationSHI YixuanMAO QingzhouDAI HuanyunWANG QunshengSHI XiangyuThe safety and reliability of traction inverters are critical to the stable operation of high-speed EMU vehicles. To judge the working state of the inverter, combined with the vehicle system dynamics, a fault diagnosis method of traction inverter based on motor vibration signal analysis was proposed. In this method, the motor vibration signal is taken as the monitoring object, and the characteristic signal of abnormal motor vibration caused by current distortion when the inverter is faulty is used to judge. Taking the traction transmission system of CRH2 EMU as an example, the main circuit simulation model of a three-level traction inverter based on the SVPWM strategy was established. Taking the power switch elements as the object, the structural fault modes of the inverter are simulated. The results indicate that inverter faults will significantly affect the harmonic content of the output current on the AC side, especially with a significant increase in the 5th, 7th, 11th, and 13th harmonic content; After these harmonics are input to the traction motor, they are converted into 6P(1-s) and 12P(1-s) frequency doubling pulsating torque that acts on the motor, causing its output vibration to contain corresponding harmonic components of the frequency. By analyzing the vibration signals of the traction motor during the actual operation of high-speed multiple units, it was found that under normal circumstances, there is no obvious presence of such harmonic frequency components; When there is an inverter fault, it will cause the frequency content to be very obvious. Therefore, the vibration signal analysis method proposed in this article can effectively monitor and diagnose the working status of traction inverters and has a certain engineering application value.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.236Electric multiple unitstraction invertermotor vibrationcurrent harmonicsfault diagnosis |
| spellingShingle | SHI Yixuan MAO Qingzhou DAI Huanyun WANG Qunsheng SHI Xiangyu Research on fault diagnosis of emu inverter based on motor vibration 机车电传动 Electric multiple units traction inverter motor vibration current harmonics fault diagnosis |
| title | Research on fault diagnosis of emu inverter based on motor vibration |
| title_full | Research on fault diagnosis of emu inverter based on motor vibration |
| title_fullStr | Research on fault diagnosis of emu inverter based on motor vibration |
| title_full_unstemmed | Research on fault diagnosis of emu inverter based on motor vibration |
| title_short | Research on fault diagnosis of emu inverter based on motor vibration |
| title_sort | research on fault diagnosis of emu inverter based on motor vibration |
| topic | Electric multiple units traction inverter motor vibration current harmonics fault diagnosis |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.236 |
| work_keys_str_mv | AT shiyixuan researchonfaultdiagnosisofemuinverterbasedonmotorvibration AT maoqingzhou researchonfaultdiagnosisofemuinverterbasedonmotorvibration AT daihuanyun researchonfaultdiagnosisofemuinverterbasedonmotorvibration AT wangqunsheng researchonfaultdiagnosisofemuinverterbasedonmotorvibration AT shixiangyu researchonfaultdiagnosisofemuinverterbasedonmotorvibration |