Title :
A hybrid diagnostic method based on wigner-ville distribution and wavelet packet transform
Author :
Tian, Wei ; Yan, Ru-qiang ; Gao, Robert X.
Author_Institution :
Dept. of Mech. Eng., Univ. of Connecticut, Storrs, CT, USA
Abstract :
Effective machine health monitoring requires a time-frequency representation with high resolution. This paper presents a hybrid signal processing technique, based on Wavelet Packet Transform (WPT) and Wigner-Ville Distribution (WVD). It allows high resolution without introducing the cross-term interference as the original WVD method does. The suitability of applying this method is shown by both simulation and experiments.
Keywords :
Wigner distribution; condition monitoring; electric machines; signal processing; wavelet transforms; Wigner-Ville distribution; hybrid diagnostic method; hybrid signal processing technique; machine health monitoring; time-frequency representation; wavelet packet transform; Discrete wavelet transforms; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet packets; Defect diagnosis; Wavelet packet transform; Wigner-Ville distribution;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6530-9
DOI :
10.1109/ICWAPR.2010.5576402
