Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography

被引：865

作者：

Peng, ZK ^{[1
]}

Chu, FL ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Precis Instruments, Beijing 100084, Peoples R China

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2004年 / 18卷 / 02期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1016/S0888-3270(03)00075-X

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The application of the wavelet transform for machine fault diagnostics has been developed for last 10 years at a very rapid rate. A review on all of the literature is certainly not possible. The purpose of this review is to present a summary about the application of the wavelet in machine fault diagnostics, including the following main aspects: the time-frequency analysis of signals, the fault feature extraction, the singularity detection for signals, the denoising and extraction of the weak signals, the compression of vibration signals and the system identification. Some other applications are introduced briefly as well, such as the wavelet networks, the wavelet-based frequency response function, etc. In addition, some problems in using the wavelet for machine fault diagnostics are analysed. The prospects of the wavelet analysis in solving non-linear problems are discussed. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：199 / 221

页数：23

共 143 条

[1] Wavelet analysis of vibration signals of an overhang rotor with a propagating transverse crack [J].

Adewusi, SA ;

Al-Bedoor, BO .

JOURNAL OF SOUND AND VIBRATION, 2001, 246 (05) :777-793

[2] Fault diagnosis of single-variate systems using a wavelet-based pattern recognition technique [J].

Akbaryan, F ;

Bishnoi, PR .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2001, 40 (16) :3612-3622

[3] Faults' parameters estimation of stratified structures based on wavelet packet algorithm in free oscillation testing method [J].

Akhmetshin, AM ;

Sendetski, AS .

WAVELET APPLICATIONS IV, 1997, 3078 :162-169

[4]

Al-khalidy A., 1997, APPROXIMATE METHODS, V347, P49

[5] Multiple band-pass autoregressive demodulation for rolling-element bearing fault diagnosis [J].

Altmann, J ;

Mathew, J .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2001, 15 (05) :963-977

[6] Fault diagnosis of analog circuits using Bayesian neural networks with wavelet transform as preprocessor [J].

Aminian, F ;

Aminian, M .

JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS, 2001, 17 (01) :29-36

[7]

BAKSHI BR, 1999, AICHE JH, V39, P57

[8]

BARBARA BH, 1998, WORD ACCORDING WAVEL

[9]

BERGEAUD F, 1995, P SOC PHOTO-OPT INS, V2491, P2, DOI 10.1117/12.205366

[10] Crack detection in metallic structures using piezoceramic sensors [J].

Biemans, C ;

Staszewski, WJ ;

Boller, C ;

Tomlinson, GR .

DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, 1999, 167-1 :112-121

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