Bearing system health condition monitoring using a wavelet cross-spectrum analysis technique

JVC/Journal of Vibration and Control

Volumn 18, Issue 7, 2012, Pages 953-963

  Liu, Jie ^a   Wang, Wilson ^b   Ma, Fai ^c  

^a CARLETON UNIVERSITY   (Canada)

^b LAKEHEAD UNIVERSITY   (Canada)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Fault detection; feature extraction; rolling element bearing; signature analysis; vibration

Indexed keywords

A-WAVELET TRANSFORM; ANALYSIS TECHNIQUES; BANDWIDTH SELECTIONS; BEARING CONDITIONS; BEARING FAULT; BEARING FAULT DETECTION; BEARING SYSTEMS; CATASTROPHIC FAILURES; CROSS SPECTRA; EXPERIMENTAL TEST; FEATURE EXTRACTION AND ANALYSIS; MACHINERY SYSTEMS; NONSTATIONARY; PROCESSING APPROACH; ROLLING ELEMENT BEARING; SIGNATURE ANALYSIS; VIBRATION; VIBRATION SIGNAL; WAVELET COEFFICIENTS;

CONDITION MONITORING; DEGRADATION; FAULT DETECTION; FEATURE EXTRACTION; MACHINERY; SIGNAL PROCESSING; SPECTROSCOPY; SPECTRUM ANALYSIS; WAVELET TRANSFORMS;

BEARINGS (MACHINE PARTS);

EID: 84860708404     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546311417276     Document Type: Article

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