Application research of continuous wavelet transform in crack fault diagnosis of transmission gear

被引：0

作者：

Yang Xiu-Wen ^{[1
]}

Chen Jie ^{[2
]}

Zeng Shun-Peng ^{[2
]}

Cai Zhi-Wu ^{[3
]}

机构：

[1] Logist Engn Univ, Chongqing 400016, Peoples R China

[2] Chongqing Univ Sci & Technol, Chongqing 400050, Peoples R China

[3] Juangling Motors Co Ltd, Nanchang 330001, Jiangxi, Peoples R China

来源：

WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING, VOL 1 AND 2 | 2006年

关键词：

continuous wavelet transform; fault diagnosis; gear; crack;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The during the gear fault detection and diagnosis, the fault feature extraction is the key of diagnosis, but it is multifarious for the method of fault feature extraction. On the basis of continuous wavelet transform, this paper mainly introduces that the basic principle of wavelet transform and its application in feature extraction for fault diagnosis are set forth. It is aimed at no steady state pulse signal feature when transmission gear have fault, select suitable wavelet, apply wavelet transformation successfully to diagnose crackle fault of transmission gear, which indicates the advantage of wavelet analysis. The results show that the continuous wavelet transform is a useful tool in diagnosis of crack in gears. The new method for prognosis and diagnosis of incipient small crack can be applied to engineering practice effectively.

引用

页码：1161 / +

页数：2

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