Diagnosis of local demagnetization faults in PMSM based on CWT and radial leakage magnetic flux

Yi Shen; Shuaiwei Wang

doi:10.1117/12.3030135

5 June 2024 Diagnosis of local demagnetization faults in PMSM based on CWT and radial leakage magnetic flux

Yi Shen, Shuaiwei Wang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316375 (2024) https://doi.org/10.1117/12.3030135
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

This study proposes a method for diagnosing local demagnetization faults in Permanent Magnet Synchronous Motors (PMSMs) based on Continuous Wavelet Transform (CWT) and radial leakage magnetic signals. The approach involves utilizing CWT to process collected radial leakage magnetic flux from the faulty motor surface, extracting fault features effectively. Leveraging the advantages of the leakage magnetic signals, this method accurately identifies the magnitude of local demagnetization in the motor, providing a reference for assessing the severity of demagnetization. Finally, the ResNet50 convolutional neural network is employed for feature extraction from the Continuous Wavelet Transform images, enabling precise classification of different demagnetization magnitudes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yi Shen and Shuaiwei Wang "Diagnosis of local demagnetization faults in PMSM based on CWT and radial leakage magnetic flux", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316375 (5 June 2024); https://doi.org/10.1117/12.3030135

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