Detection of stator winding fault in induction motors using a motor square current signature analysis (MSCSA)

V. Fernão Pires, D. Foito, J. Martins, A. Pires
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引用次数: 24

Abstract

In this paper the short-circuit fault inter-turn on the stator of an induction motor is analysed by an online diagnostic method. For the diagnostic method it is proposed the motor square current signature analysis (MSCSA). This method uses the results of spectral analysis of the instantaneous square stator current. The effects of stator square current spectrum are described and the related frequencies determined. This method is similar to the instantaneous power signature analysis, however has the advantage of just require one current sensor. Several simulation and experimental results are presented in order to illustrate the characteristics of the proposed method.
基于电机方电流特征分析的异步电动机定子绕组故障检测
本文采用在线诊断方法对异步电动机定子转间短路故障进行了分析。提出了电机方电流特征分析(MSCSA)的诊断方法。该方法利用定子瞬时方电流的频谱分析结果。描述了定子电流方谱的影响,并确定了相关频率。该方法与瞬时功率特征分析类似,但具有只需要一个电流传感器的优点。为了说明该方法的特点,给出了几个仿真和实验结果。
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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