Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
✍ Scribed by Z.K. Peng; F.L. Chu
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 358 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
✦ Synopsis
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.