Application of Wavelet Analysis in Fault Diagnosis for Asynchronous Motor by Simulation

被引：0
|
作者：
Hu, Zhizhang [1 ]
Zhang, Yucheng [1 ]
Liang, Hongqin [1 ]
机构：
[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu, Peoples R China
来源：
2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR EDUCATION (ICTE 2016) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the wavelet analysis is used in the fault diagnosis of asynchronous motor, emulating fault signal by the simulation software. Then the faults are diagnosed according to analysis signal by the wavelet analysis. Wavelet analysis is one kind of late-model effective fault diagnosis method, which can express local characteristics of signal in both time domain and frequency. The model is built in MATLAB/Simulink, emulating the signal of asynchronous motor.
引用
收藏
页码：151 / 155
页数：5
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