A Review of Permanent Magnet Synchronous Motor Fault Diagnosis

被引：0

作者：

Wang, Zhifu ^{[1
]}

Yang, Jingzhe ^{[1
]}

Ye, Huiping

Zhou, Wei ^{[1
]}

机构：

[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicle, Beijing 10081, Peoples R China

来源：

2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014 | 2014年

关键词：

PMSM; fault; diagnosis; Short-time Fourier transform (STFT); Wavelet Analysis; Artificial Neural Network (ANN); Finite Element Analysis (FEA);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：5

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