An energy kurtosis demodulation technique for signal denoising and bearing fault detection

Measurement Science and Technology

Volumn 24, Issue 2, 2013, Pages

  Wang, Wilson ^a   Lee, Hewen ^b  

^a LAKEHEAD UNIVERSITY   (Canada)

^b EMech Systems Inc   (Canada)

Author keywords

fault detection; feature extraction; maximum kurtosis deconvolution; rolling element bearings; signal denoising

Indexed keywords

BEARINGS (MACHINE PARTS); DEFECTS; DEMODULATION; FEATURE EXTRACTION; FREQUENCY BANDS; HIGHER ORDER STATISTICS; MACHINERY; OPTICAL VARIABLES MEASUREMENT; ROLLER BEARINGS; SIGNAL DENOISING; SIGNAL PROCESSING;

BEARING FAULT DETECTION; DECONVOLUTION FILTERS; DEMODULATION TECHNIQUES; FAULT DETECTION TECHNIQUES; INTEGRATION STRATEGY; PREDICTIVE MAINTENANCE; ROLLING ELEMENT BEARING; SIGNAL TRANSMISSION;

FAULT DETECTION;

EID: 84872743749     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/24/2/025601     Document Type: Article

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