Inter-turn short-circuit fault diagnosis of high-voltage line-start permanent magnet synchronous motor based on improved wavelet packet energy analysis
DOI:
https://doi.org/10.24425/aee.2025.155961Abstract
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.References
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