PARAMETERS OPTIMIZATION OF CONTINUOUS WAVELET TRANSFORM AND ITS APPLICATION IN ACOUSTIC EMISSION SIGNAL ANALYSIS OF ROLLING BEARING

被引：11

作者：

ZHANG Xinming HE Yongyong HAO Rujiang CHU Fulei State Key Laboratory of TribologyTsinghua UniversityBeijng China ^{[100084
]}

机构：

来源：

Chinese Journal of Mechanical Engineering | 2007年 / 02期

关键词：

D O I：

暂无

中图分类号：

TH133.33 [滚动轴承];

学科分类号：

082805 [农业机械化与装备工程];

摘要：

Morlet wavelet is suitable to extract the impulse components of mechanical fault signals. And thus its continuous wavelet transform (CWT) has been successfully used in the field of fault diagnosis. The principle of scale selection in CWT is discussed. Based on genetic algorithm,an opti-mization strategy for the waveform parameters of the mother wavelet is proposed with wavelet en-tropy as the optimization target. Based on the optimized waveform parameters,the wavelet scalogram is used to analyze the simulated acoustic emission (AE) signal and real AE signal of rolling bearing. The results indicate that the proposed method is useful and efficient to improve the quality of CWT.

引用

页码：104 / 108

页数：5