Research of Fault Diagnosis of Wavelet Analysis for Asynchronous Motor

被引：0

作者：

Zhou, Fei ^{[1
]}

Lin, Guomin ^{[1
]}

Shang, Miao ^{[1
]}

Li, Zhengqiang ^{[1
]}

机构：

[1] Xijing Univ, Xian, Shaanxi, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MANAGEMENT, COMPUTER AND EDUCATION INFORMATIZATION | 2015年 / 25卷

关键词：

asynchronous motor; wavelet analysis; fault form; fault diagnosis; wavelet algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this article, the working principle of the asynchronous motor and its common failure forms are analyzed and summarized. On this basis, the wavelet change of the application of the asynchronous motor that is carried out. In normal state and failure state, the motor vibration and current signal was reconstruct of the wavelet packet decomposition and single, and the fault characteristic frequency band that is conducted to extract. The characteristics of the normal operation and fault run time spectrum is carried on the detailed comparison. Based on the wavelet packet decomposition and reconstruction of motor fault feature extraction method can effective characterization of failure from the characteristic spectrum reconstruction signal waveform. Thus proves that the method based on wavelet analysis can accurately implement motor fault diagnosis.

引用

页码：472 / 475

页数：4

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