The Optimal Morlet Wavelet and Its Application on Mechanical Fault Detection

被引：0

作者：

Zhang, Dan ^{[1
]}

Sui, Wentao ^{[2
]}

机构：

[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Peoples R China

[2] Shandong Univ Technol, Sch Mech Engn, Zibo, Peoples R China

来源：

2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年

关键词：

mechanical fault detection; Morlet wavelet; denoising method; wavelet transform; DIAGNOSIS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

De-noising and extraction of the weak signal are very important to mechanical fault detection in which case signals often have very low signal-to-noise ratio (SNR). In this paper, a denoising method based on the optimal Morlet wavelet is applied to feature extraction for mechanical vibration signals. The wavelet shape parameters are optimized based on kurtosis maximization criteria. The effectiveness of the proposed technique on the extraction of impulsive features of mechanical fault signals has been proved by practical experiments.

引用

页码：1911 / +

页数：3

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