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Automated Monitoring of the Uniform Demagnetization Faults in Permanent-Magnet Synchronous Motors: Practical Methods and Challenges

Author

Listed:
  • Junxiang Li

    (College of Artificial Intelligence and Automation, Beijing University of Technology, Beijing 100124, China)

  • Ziang Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Jian Zhang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Shuyuan Zhao

    (National Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin 150080, China)

  • Feitian Cheng

    (Jiangsu Marine Resources Development Research Institute, School of Mechanical Engineering, Jiangsu Ocean University, Lianyungang 222005, China)

  • Chuan Qian

    (Jiangsu Marine Resources Development Research Institute, School of Mechanical Engineering, Jiangsu Ocean University, Lianyungang 222005, China)

  • Xingyu Hu

    (Jiangsu Marine Resources Development Research Institute, School of Mechanical Engineering, Jiangsu Ocean University, Lianyungang 222005, China)

  • Guoxiang Zhou

    (Chongqing Research Institute of Harbin Institute of Technology, Chongqing 401135, China)

Abstract

Due to its high power, high efficiency, low pollution, and compact size, permanent-magnet synchronous motors (PMSMs) have been widely used in a variety of fields, including electric vehicles, aerospace, wind turbines, and marine devices, which are used in renewable, sustainable, and environmentally friendly energy resources. However, in these practical scenarios, the motor operating conditions are complex and variable. Under high-temperature and high-current conditions, PMSMs may experience demagnetization failures, not only leading to performance degradation but also inducing unexpected failures of the motors. To reduce the risk of unexpected losses caused by demagnetization faults and improve the safety and reliability of motor systems, it is necessary to apply automated monitoring of the magnet flux of the motor’s permanent magnets and achieve real-time diagnosis of early demagnetization faults, ensuring the safe operation of the motor. This review article tries to summarize the current detection methods of the automated monitoring of demagnetization faults in PMSMs. The main online monitoring technologies from both practical and academic perspectives are summarized and their benefits and challenges are reviewed. Finally, the research trends and suggestions for future improvements are provided. This review article not only sheds light on the origins of the automated monitoring of demagnetization faults but also helps to design highly effective and sustainable permanent-magnet synchronous motors.

Suggested Citation

  • Junxiang Li & Ziang Li & Jian Zhang & Shuyuan Zhao & Feitian Cheng & Chuan Qian & Xingyu Hu & Guoxiang Zhou, 2023. "Automated Monitoring of the Uniform Demagnetization Faults in Permanent-Magnet Synchronous Motors: Practical Methods and Challenges," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16326-:d:1288332
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    References listed on IDEAS

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    1. Fuzhang Wang & Ayesha Sohail & Wing-Keung Wong & Qurat Ul Ain Azim & Shabieh Farwa & Maria Sajad, 2023. "Artificial Intelligence And Stochastic Optimization Algorithms For The Chaotic Datasets," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 31(06), pages 1-14.
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