Reviewing Fault Diagnosis Methods in Electric Drives: Power Subsystem and Electrical Machine

Author:

Demidova Galina1,Chen Hao2,Li Yibin3,Lukichev Dmitry1,Anuchin Alecksey4

Affiliation:

1. ITMO University,Faculty of Control System and Robotics,Saint-Petersburg,Russia

2. School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou,China

3. Institute of Marine Science and Technology Shandong University,Shandong,China

4. Moscow Power Engineering Institute,Department of Electric Drives,Moscow,Russia

Publisher

IEEE

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

2. Circuit fault diagnosis for 12-pulse power converter in HL-3 based on Meta Pseudo Labels;Fusion Engineering and Design;2024-05

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