基于小波重构的异步电动机转子故障诊断

ICEMS'2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems (IEEE Cat. No.01EX501) Pub Date : 2001-08-18 DOI:10.1109/ICEMS.2001.970690

Cao Zhi-tong, Chen Hongping, H. Guoguang, E. Ritchie

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引用次数: 19

摘要

本文采用小波多分辨分析方法对三相异步电动机转子断条故障进行了诊断。选取Daubechies小波作为小波基，对故障感应电机电流信号进行小波变换得到小波系数。然后对单个分支进行小波重构。这是每个频率分支的信号作为时间的函数。与无故障情况相比，从高频支路上的识别电流特征可以清楚地识别出异步电动机转子故障。

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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Rotor fault diagnosis of induction motor based on wavelet reconstruction

The fault of broken rotor bars in a three-phase induction motor is diagnosed by using the wavelet multi-resolution analysis in this paper. Daubechies wavelet is selected as the wavelet base, and the wavelet coefficient is obtained from the wavelet transform of the current signal of the faulty induction motor. The wavelet reconstruction of a single branch is then processed. This is the signal in each frequency branch as a function of time. A rotor fault in the induction motor is clearly identified from the distinguishing current characteristics on the high frequency branch, compared with the no fault condition.

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来源期刊

ICEMS'2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems (IEEE Cat. No.01EX501)

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