Wavelet Selection in Fault Diagnosis of Wavelet Transform

被引：1
|
作者：
Li Shu'e [1 ]
Lv Feng [1 ]
Fu Chao [1 ]
机构：
[1] Hebei Normal Univ, Dept Elect, Shijiazhuang, Peoples R China
来源：
MANUFACTURING ENGINEERING AND AUTOMATION II, PTS 1-3 | 2012年 / 591-593卷
关键词：
Fault diagnosis; Wavelet; simulation;
D O I：
10.4028/www.scientific.net/AMR.591-593.2127
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wavelet analysis is a kind of time-frequency analysis method, It is particularly effective to analyze signal singularity, singular point location and size of the singular degree, fault characteristic signal can be effectively separated, and it can be used to make fault analysis and diagnosis. And choosing different wavelet analysis on fault make different results. Based on the induction motor stator current for the simulation model, the paper discusses the signal with different wavelet denoising, except the singularity detection and fault diagnosis. And analyzes the importance of fault mother wavelet choicing.
引用
收藏
页码：2127 / 2130
页数：4
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