Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

Mechanical Systems and Signal Processing

Volumn 66-67, Issue , 2016, Pages 679-698

  Wang, Yanxue ^a,b   Xiang, Jiawei ^c   Markert, Richard ^b   Liang, Ming ^d  

^a GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^c WENZHOU UNIVERSITY   (China)

^d UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Fault diagnosis; Prognostics; Rotating machines; Spectral kurtosis

Indexed keywords

FAILURE ANALYSIS; HIGHER ORDER STATISTICS; ROTATING MACHINERY; SIGNAL DETECTION; SIGNAL PROCESSING; SYSTEMS ENGINEERING;

CATASTROPHIC ACCIDENTS; CONDITION BASED MAINTENANCE; FAULT DETECTION AND DIAGNOSIS; PROGNOSTICS; RESEARCH AND APPLICATION; ROTATING MACHINE; SHORT TIME FOURIER TRANSFORMS; SPECTRAL KURTOSIS;

FAULT DETECTION;

EID: 84945246972     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.04.039     Document Type: Review

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