Two-stage feature selection for bearing fault diagnosis based on dual-tree complex wavelet transform and empirical mode decomposition

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 230, Issue 2, 2016, Pages 291-302

  Van, Mien ^a   Kang, Hee Jun ^a  

^a University of Ulsan   (South Korea)

Author keywords

distance evaluation; Dual tree complex wavelet transform; empirical mode decomposition; genetic algorithm; optimal feature selection

Indexed keywords

BEARINGS (MACHINE PARTS); CLASSIFICATION (OF INFORMATION); ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FAULT DETECTION; GENETIC ALGORITHMS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PARTIAL DISCHARGES; ROLLER BEARINGS; SIGNAL PROCESSING; TIME DOMAIN ANALYSIS; TREES (MATHEMATICS); WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

DISTANCE EVALUATION; DISTANCE EVALUATION TECHNIQUES; DUAL-TREE COMPLEX WAVELET TRANSFORM; EMPIRICAL MODE DECOMPOSITION; FEATURE SELECTION ALGORITHM; K-NEAREST NEIGHBOR CLASSIFIER; OPTIMAL FEATURE SELECTIONS; TWO STAGE FEATURE SELECTION TECHNIQUES;

FEATURE EXTRACTION;

EID: 84954271626     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406215573976     Document Type: Article

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