Motor Fault Diagnosis Based on Wavelet Analysis and Fast Fourier Transform

被引：0

作者：

Zhang Qingxin ^{[1
]}

Li Jin ^{[1
]}

Li Haibin ^{[1
]}

Liu Chong ^{[1
]}

机构：

[1] Shenyang Aerosp Univ, Automat Dept, Shenyang 110136, Peoples R China

来源：

ADVANCED MEASUREMENT AND TEST, PTS 1-3 | 2011年 / 301-303卷

关键词：

Wavelet analysis; Fast Fourier transform; Fault diagnosis;

D O I：

10.4028/www.scientific.net/AMR.301-303.1401

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

For the detection of the broken-bar fault of rotor in motors, a traditional method is frequency spectrum analysis for the stator current. However, the frequency components representative of the rotor fault can be easily submerged by the fundamental frequency, so that the detections results are inaccurate. In this paper, the stator current will be decomposed and reconstructed, after that the fast Fourier transform can be applied to the frequency spectrum analysis. It eliminates the influence that the fault characteristic components are flooded by the basic frequency components. The experiment result shows that the existence of a slight fault in rotor can be detected. The method has a good theoretical and engineering application.

引用

页码：1401 / 1405

页数：5

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