Overview of fault diagnosis theory and method for permanent magnet machine

被引:0
|
作者
Cheng, Ming [1 ]
Hang, Jun [1 ]
Zhang, Jianzhong [1 ]
机构
[1] School of Electrical Engineering, Southeast University, Nanjing,210096, China
来源
基金
中国国家自然科学基金;
关键词
Electric machinery - Fault detection - Fault tolerance - Magnetic levitation vehicles - Military applications - Permanent magnets - Reliability theory;
D O I
10.23919/CJEE.2015.7933135
中图分类号
学科分类号
摘要
Permanent magnet (PM) machines have been widely used in a variety of industrial and military applications due to their definite advantages of high power density and high efficiency. In some applications such as electric vehicles (EVs) and aircrafts, high reliability and security of the PM machine are critical. Hence, there is rapidly growing interest in strategies to improve the reliability and security of the PM machine from both academia and industry, where fault diagnosis is a requirement. In this paper, common faults of the PM machine are discussed, state of the art in fault diagnosis of PM machine are overviewed in detail, and different fault diagnosis methods are analyzed and compared. Finally, the development tendency of fault diagnosis techniques for the PM machine is prospected. © 2015 IEEE. All rights reserved.
引用
收藏
页码:21 / 36
相关论文
共 50 条
  • [21] Thermal Prediction of a Fault Tolerant Permanent Magnet Vernier Machine
    Xu, Liang
    Liu, Guohai
    Zhao, Wenxiang
    Ji, Jinghua
    Fan, Xun
    2015 18TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2015, : 1414 - 1418
  • [22] Fault Tolerance Method of Low-Resolution Hall Sensor in Permanent Magnet Synchronous Machine
    Guo, Chuangqiang
    Gao, Xindong
    Zhang, Qingli
    Zhu, Yingyuan
    IEEE ACCESS, 2022, 10 : 119162 - 119169
  • [23] A Novel method for Permanent Magnet Demagnetization Fault Detection and Treatment in Permanent Magnet Synchronous Machines
    Khoobroo, Amir
    Fahimi, Babak
    2010 TWENTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC), 2010, : 2231 - 2237
  • [24] Application of power spectral density and the support vector machine to fault diagnosis for permanent magnet synchronous motor
    Zerdani, Sara
    Elhafyani, Mohamed Larbi
    Zouggar, Smail
    SN APPLIED SCIENCES, 2022, 4 (09):
  • [25] Inter-turn Fault Diagnosis of Permanent Magnet Synchronous Machine Considering Model Predictive Control
    Ding S.
    Wang Q.
    Hang J.
    Hua W.
    Wang Q.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (12): : 3697 - 3707
  • [26] Demagnetization Fault Indexes in Permanent Magnet Synchronous Motors-An Overview
    Faiz, Jawad
    Nejadi-Koti, H.
    IEEE TRANSACTIONS ON MAGNETICS, 2016, 52 (04)
  • [27] Application of power spectral density and the support vector machine to fault diagnosis for permanent magnet synchronous motor
    Sara Zerdani
    Mohamed Larbi Elhafyani
    Smail Zouggar
    SN Applied Sciences, 2022, 4
  • [28] Inter-turn Fault Diagnosis of Permanent Magnet Synchronous Machine Based on Variational Mode Decomposition
    Li, Hao
    Hang, Jun
    Fang, Jie
    Zhang, Peng
    Ding, Shichuan
    Wang, Qunjing
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 2422 - 2425
  • [29] Fault Diagnosis Techniques for Permanent Magnet AC Machine and Drives-A Review of Current State of the Art
    Choi, Seungdeog
    Haque, Moinul Shahidul
    Bin Tarek, Md Tawhid
    Mulpuri, Vamsi
    Duan, Yao
    Das, Sanjoy
    Garg, Vijay
    Ionel, Dan M.
    Masrur, M. Abul
    Mirafzal, Behrooz
    Toliyat, Hamid A.
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2018, 4 (02): : 444 - 463
  • [30] Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components
    Hang, Jun
    Zhang, Jianzhong
    Cheng, Ming
    Huang, Jin
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2015, 30 (12) : 6731 - 6741