Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing

Mechanical Systems and Signal Processing

Volumn 81, Issue , 2016, Pages 219-234

  Lv, Yong ^a   Yuan, Rui ^a   Song, Gangbing ^b  

^a WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Fault correlation factor; Multiple sensors; Multivariate EM.D.; Rolling bearing

Indexed keywords

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FAULT DETECTION; FEATURE EXTRACTION; MACHINERY; NUMERICAL METHODS; SIGNAL PROCESSING; SPECTRUM ANALYSIS; STRUCTURAL ANALYSIS;

CHARACTERISTIC FREQUENCIES; FAULT CORRELATION; FAULT FEATURE EXTRACTIONS; INTRINSIC MODE FUNCTIONS; MULTIPLE SENSORS; MULTIVARIATE EMD; MULTIVARIATE EMPIRICAL MODE DECOMPOSITION (MEMD); ROLLING BEARINGS;

ROLLER BEARINGS;

EID: 84979459993     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2016.03.010     Document Type: Article

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