Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis

Mechanism and Machine Theory

Volumn 98, Issue , 2016, Pages 114-132

  Li, Yongbo ^a   Xu, Minqiang ^a   Zhao, Haiyang ^a   Huang, Wenhu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Fault feature extraction; Hierarchical fuzzy entropy (HFE); Improved support vector machine based binary tree (ISVM BT); Laplacian score (LS)

Indexed keywords

BEARINGS (MACHINE PARTS); BINARY TREES; BINS; ENTROPY; EXTRACTION; FAILURE ANALYSIS; FEATURE EXTRACTION; FREQUENCY ESTIMATION; LAPLACE TRANSFORMS; ROLLER BEARINGS; SUPPORT VECTOR MACHINES;

ACCURATE ESTIMATION; FAULT FEATURE EXTRACTIONS; HIERARCHICAL FUZZY; IMPROVED SUPPORT VECTOR MACHINE BASED BINARY TREE (ISVM-BT); LAPLACIANS; LOW AND HIGH FREQUENCIES; NON-STATIONARY VIBRATION SIGNALS; OPERATING CONDITION;

FAULT DETECTION;

EID: 84952894365     PISSN: 0094114X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechmachtheory.2015.11.010     Document Type: Article

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