Fault detection of eccentricity by means of joint time-frequency analysis in PMSM under dynamic conditions

2007 IEEE International Symposium on Intelligent Signal Processing Pub Date : 2007-10-01 DOI:10.1109/WISP.2007.4447494

J. Rosero, J. Cusidó, A. García, L. Romeral, J. Ortega

引用次数: 3

Abstract

This paper presents a study of eccentricity fault detection in permanent magnet synchronous machines (PMSM), under dynamic conditions. The fault simulation was made by means of two-dimensional (2-D) finite element analysis (FEA). Joint time - frequency transforms, as Wigner Ville distribution (WVD) and Zao-Atlas-Marks distribution, were proposed for signal analysis. Simulations carried out were compared with experimental results.

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基于时频联合分析的永磁同步电机偏心故障检测

本文研究了动态条件下永磁同步电机偏心故障的检测方法。采用二维有限元分析(FEA)方法进行了故障模拟。提出了Wigner Ville分布(WVD)和Zao-Atlas-Marks分布(Zao-Atlas-Marks)联合时频变换用于信号分析。仿真结果与实验结果进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2007 IEEE International Symposium on Intelligent Signal Processing

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