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Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on apFFT Time-Shift Phase Difference Spectrum Correction and SVM

Author

Listed:
  • Jie Ma

    (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China
    Liaoning Railway Vocational and Technical College, Jinzhou 121000, China)

  • Xiaodong Liu

    (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Jisheng Hu

    (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Jiyou Fei

    (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Geng Zhao

    (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Zhonghuan Zhu

    (Shenyang EMU Depot, China Railway Shenyang Group Co., Ltd., Shenyang 110179, China)

Abstract

EMU (electric multiple unit) traction motors are powered by converters whose output voltage increases the voltage stress borne by the insulation system, making the ITSC (inter-turn short-circuit) fault more prominent. An index based on short-circuit thermal power is proposed in the article to evaluate the non-metallic ITSC faults extent. The apFFT (all-phase FFT) time-shift phase difference correction with double Hanning windows is used to calculate fault features to train the SVM (support vector machine) fault diagnosis model whose hyper-parameters C and g are optimized using grid search methods. The experimental verification was carried out on the EMU electric traction simulation experimental platform. According to the fault extent index proposed in this article, the experimental samples were divided into three categories, normal, incipient and serious fault samples. The ITSC fault diagnosis accuracy was 100% on the training dataset and 93.33% on the test dataset. There was no misclassification between normal and serious ITSC fault samples.

Suggested Citation

  • Jie Ma & Xiaodong Liu & Jisheng Hu & Jiyou Fei & Geng Zhao & Zhonghuan Zhu, 2023. "Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on apFFT Time-Shift Phase Difference Spectrum Correction and SVM," Energies, MDPI, vol. 16(15), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5612-:d:1202490
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