Bearing Defect Classification Based on Individual Wavelet Local Fisher Discriminant Analysis with Particle Swarm Optimization

IEEE Transactions on Industrial Informatics

Volumn 12, Issue 1, 2016, Pages 124-135

  Van, Mien ^a   Kang, Hee Jun ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b University of Ulsan   (South Korea)

Author keywords

bearing defect classification; dimensional reduction; feature extraction; Local fisher discriminant analysis; pattern recognition; wavelet kernel

Indexed keywords

BINS; DEFECTS; DISCRIMINANT ANALYSIS; EXTRACTION; FEATURE EXTRACTION; FISHER INFORMATION MATRIX; METADATA; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION; SOFTWARE TESTING; SUPPORT VECTOR MACHINES;

BEARING DEFECT; CLASSIFICATION ACCURACY; DIMENSIONAL REDUCTION; DIMENSIONALITY REDUCTION; LOCAL FISHER DISCRIMINANT ANALYSIS; STATE-OF-THE-ART METHODS; WAVELET KERNEL; WAVELET KERNEL FUNCTIONS;

CLASSIFICATION (OF INFORMATION);

EID: 84962567218     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2015.2500098     Document Type: Article

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