Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction

2015 ◽  
Vol 56-57 ◽  
pp. 230-245 ◽  
Author(s):  
Wei Fan ◽  
Gaigai Cai ◽  
Z.K. Zhu ◽  
Changqing Shen ◽  
Weiguo Huang ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Sparse Representation ◽  
Wavelet Basis ◽  
Fault Feature Extraction

Sparse Representation De-Noising Based on Morlet Wavelet Basis and its Application for Transient Feature Extraction

2014 ◽  
Vol 526 ◽  
pp. 200-204 ◽  
Author(s):  
Wei Fan ◽  
Z.K. Zhu ◽  
Wei Guo Huang ◽  
Gai Gai Cai
Keyword(s):  
Feature Extraction ◽  
Sparse Representation ◽  
Simulation Study ◽  
Signal Analysis ◽  
Morlet Wavelet ◽  
Wavelet Basis ◽  
Transient Feature

Signals with multiple transients are often encountered with much noise in engineering. The transient feature extraction has always been the key issue for signal analysis. A new signal de-noising method combining sparse representation and Morlet wavelet basis is proposed for signal de-noising and feature extraction. Simulation study concerning multiple transients signal shows the effectiveness of this method in transient feature extraction. The efficiency of this de-noising method is also verified by its application to extract fault signature for gearbox.

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