A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm

Measurement: Journal of the International Measurement Confederation

Volumn 47, Issue 1, 2014, Pages 669-675

  Zhu, Keheng ^a   Song, Xigeng ^a   Xue, Dongxin ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Hierarchical entropy; PSO; Roller bearing; SVM

Indexed keywords

ALGORITHMS; ELECTRIC ARCS; ENTROPY; FAILURE ANALYSIS; FEATURE EXTRACTION; PARTICLE SWARM OPTIMIZATION (PSO); ROLLER BEARINGS;

FAULT FEATURE EXTRACTIONS; HIERARCHICAL DECOMPOSITIONS; HIERARCHICAL ENTROPIES; HIGH FREQUENCY COMPONENTS; MULTI-CLASS SUPPORT VECTOR MACHINES; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO; SVM;

SUPPORT VECTOR MACHINES;

EID: 84885551457     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.09.019     Document Type: Article

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