This paper presents a review of Permanent Magnet Synchronous Motor (PMSM) fault diagnosis methods. Firstly, PMSM usual faults including electrical, mechanical, and magnetic faults are listed. In the third part, the various signal processing methods for PMSM are summarized. Finally, the artificial intelligence methods for PMSM fault diagnosis are reviewed, such as artificial neural network, fuzzy logic.


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    Title :

    A review of Permanent Magnet Synchronous Motor fault diagnosis


    Contributors:
    ZhifuWang, (author) / Jingzhe Yang, (author) / Huiping Ye, (author) / Wei Zhou, (author)


    Publication date :

    2014-08-01


    Size :

    515651 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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