Fault diagnosis and health assessment for bearings using the Mahalanobis–Taguchi system based on EMD-SVD

Transactions of the Institute of Measurement and Control

Volumn 35, Issue 6, 2013, Pages 798-807

  Wang, Zhipeng ^a   lu, Chen ^a,b   Wang, Zili ^a   Liu, Hongmei ^a   Fan, Huanzhen ^a  

^a BEIHANG UNIVERSITY   (China)

^b Science and Technology on Reliability and Environmental Engineering Laboratory   (China)

Author keywords

Empirical mode decomposition; fault diagnosis; health assessment; Mahalanobis Taguchi system; singular value decomposition

Indexed keywords

BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; FAULT DETECTION; HEALTH; SIGNAL PROCESSING; TAGUCHI METHODS;

COMPUTATIONAL SCHEMES; EMPIRICAL MODE DECOMPOSITION; HEALTH ASSESSMENTS; INTRINSIC MODE FUNCTIONS; MAHALANOBIS DISTANCES; MAHALANOBIS-TAGUCHI SYSTEMS; NON-STATIONARY VIBRATION SIGNALS; VIBRATION SIGNAL;

SINGULAR VALUE DECOMPOSITION;

EID: 84880321805     PISSN: 01423312     EISSN: 14770369     Source Type: Journal    
DOI: 10.1177/0142331212472929     Document Type: Article

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