Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Mechanical Systems and Signal Processing

Volumn 85, Issue , 2017, Pages 746-759

  Zheng, Jinde ^a   Pan, Haiyang ^a   Cheng, Junsheng ^b  

^a ANHUI UNIVERSITY OF TECHNOLOGY   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

Composite multiscale fuzzy entropy; Ensemble support vector machine; Fault diagnosis; Multiscale entropy; Rolling bearing

Indexed keywords

BEARINGS (MACHINE PARTS); COMPUTER AIDED DIAGNOSIS; ELECTRIC FAULT CURRENTS; ENTROPY; FAILURE ANALYSIS; ROLLER BEARINGS; SUPPORT VECTOR MACHINES; TIME SERIES;

AUTOMATIC FAULT DIAGNOSIS; EXPERIMENTAL DATA ANALYSIS; FAULT DIAGNOSIS METHOD; FUZZY ENTROPY; INTELLIGENT CLASSIFICATION; MULTI-SCALE ENTROPIES; NON-LINEAR METHODS; ROLLING BEARINGS;

FAULT DETECTION;

EID: 84995467084     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2016.09.010     Document Type: Article

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