Inter-turn short-circuit fault diagnosis of high-voltage line-start permanent magnet synchronous motor based on improved wavelet packet energy analysis

High-voltage line-start permanent magnet synchronous motors (HVLSPMSMs) are prone to inter-turn short-circuit faults, which not only result in a significant increase in current but also exacerbate motor vibration. To accurately identify the frequency-domain fault characteristics of the motor under i...

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Published inArchives of Electrical Engineering (Online)
Main Authors Yang, Cunxiang, Zhang, Shizheng, Wang, Yunzhuang, Qiu, Hongbo, Zhao, Hewei
Format Journal Article
LanguagePolish
Published 20.10.2025
Online AccessGet full text
ISSN1427-4221
2300-2506
2300-2506
DOI10.24425/aee.2025.155961

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Abstract High-voltage line-start permanent magnet synchronous motors (HVLSPMSMs) are prone to inter-turn short-circuit faults, which not only result in a significant increase in current but also exacerbate motor vibration. To accurately identify the frequency-domain fault characteristics of the motor under inter-turn short-circuit conditions, an improved wavelet packet energy gain ratio analysis method is proposed. Firstly, a two-dimensional transient finite element simulation model is established, and the validity of the model is verified through experimental data. On this basis, the inter-turn short-circuit fault state of the motor is further analyzed, and the corresponding fault signals are extracted. Secondly, the improved wavelet packet transform (IWPT) is applied to analyze the fault current and vibration signals. By combining the energy gain ratio, fast Fourier transform (FFT) is conducted on the sensitive wavelet packet coefficient nodes to extract the fault characteristics of the current and vibration signals by comparing the frequencies before and after the fault occurrence. Finally, a comparison with traditional wavelet packet analysis demonstrates the reliability and accuracy of the proposed method.
AbstractList High-voltage line-start permanent magnet synchronous motors (HVLSPMSMs) are prone to inter-turn short-circuit faults, which not only result in a significant increase in current but also exacerbate motor vibration. To accurately identify the frequency-domain fault characteristics of the motor under inter-turn short-circuit conditions, an improved wavelet packet energy gain ratio analysis method is proposed. Firstly, a two-dimensional transient finite element simulation model is established, and the validity of the model is verified through experimental data. On this basis, the inter-turn short-circuit fault state of the motor is further analyzed, and the corresponding fault signals are extracted. Secondly, the improved wavelet packet transform (IWPT) is applied to analyze the fault current and vibration signals. By combining the energy gain ratio, fast Fourier transform (FFT) is conducted on the sensitive wavelet packet coefficient nodes to extract the fault characteristics of the current and vibration signals by comparing the frequencies before and after the fault occurrence. Finally, a comparison with traditional wavelet packet analysis demonstrates the reliability and accuracy of the proposed method.
Author Wang, Yunzhuang
Zhang, Shizheng
Qiu, Hongbo
Yang, Cunxiang
Zhao, Hewei
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Snippet High-voltage line-start permanent magnet synchronous motors (HVLSPMSMs) are prone to inter-turn short-circuit faults, which not only result in a significant...
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Title Inter-turn short-circuit fault diagnosis of high-voltage line-start permanent magnet synchronous motor based on improved wavelet packet energy analysis
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