Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines

Mechanical Systems and Signal Processing

Volumn 41, Issue 1-2, 2013, Pages 127-140

  Zhang, Xiaoyuan ^a   Zhou, Jianzhong ^b  

^a HENAN UNIVERSITY OF TECHNOLOGY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Energy entropy; Ensemble empirical mode decomposition; Fault diagnosis; Singular value decomposition; Support vector machine

Indexed keywords

ENERGY-ENTROPY; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); INTRINSIC MODE FUNCTIONS; MULTI-FAULT DIAGNOSIS; ROLLING BEARINGS; ROLLING ELEMENT BEARING; VIBRATION SIGNAL;

BEARINGS (MACHINE PARTS); ENTROPY; FAILURE ANALYSIS; OPTIMIZATION; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION;

SUPPORT VECTOR MACHINES;

EID: 84885611750     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.07.006     Document Type: Article

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