The automatic selection of an optimal wavelet filter and its enhancement by the new sparsogram for bearing fault detection: Part 2 of the two related manuscripts that have a joint title as "two automatic vibration-based fault diagnostic methods using the novel sparsity measurement - Parts 1 and 2"

Mechanical Systems and Signal Processing

Volumn 40, Issue 2, 2013, Pages 520-544

  Tse, Peter W ^a   Wang, Dong ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fault diagnosis; Genetic algorithm; Morlet wavelet filter; Rolling element bearings; Sparsity measurement; Sparsogram

Indexed keywords

BEARING FAULT DETECTION; BEARING FAULT SIGNATURE; COMPLEX MORLET WAVELET; FAULT DIAGNOSTIC METHODS; MORLET WAVELET FILTER; ROLLING ELEMENT BEARING; SPARSOGRAM; WAVELET PACKET FILTERS;

BANDPASS FILTERS; BANDWIDTH; FAILURE ANALYSIS; FREQUENCY BANDS; FUNCTIONS; GENETIC ALGORITHMS; MACHINERY; OPTIMIZATION; SIGNAL DETECTION; SPECTRUM ANALYSIS;

NATURAL FREQUENCIES;

EID: 84883889623     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.05.018     Document Type: Article

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