用信号方法监测异步电机故障

A. Medoued, A. Lebaroud, A. Belmeguenai, O. Boudebbouz, D. Sayad
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引用次数: 0

摘要

异步电机的故障监测使用定子电流是非常有趣的,因为后者是一个可访问和可测量的量。定子电流的频谱分析可以突出故障的特征频率,但在较宽的频段依赖于一半的采样率,这给故障的在线监测带来了很大的困难。为了便于对断条故障的相关频率进行挖掘,提出了利用瞬时频率法提取频率分量的方法。提出了该方法的理论基础,并在5.5 kw异步电机试验台上对结果进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring of the asynchronous machine faults using the signal approach
The faults monitoring of the asynchronous machine using the stator current is of great interest, since this latter is an accessible and a measurable quantity. The spectral analysis of the stator current makes it possible to highlight the characteristic frequencies of the faults but in a broad frequency band depend on half of the sampling rate, which makes the online monitoring of the faults very difficult. In order to facilitate the exploitation of the relevant frequencies of the broken bar fault, we propose the extraction of the frequency components using the instantaneous frequency method. The theoretical bases of this method are presented and the results are validated on a testing bench comprising an asynchronous machine of 5.5 kw.
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