Bearing-fault diagnosis using non-local means algorithm and empirical mode decomposition-based feature extraction and two-stage feature selection

IET Science, Measurement and Technology

Volumn 9, Issue 6, 2015, Pages 671-680

  Van, Mien ^a   Kang, Hee Jun ^a  

^a University of Ulsan   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; EXTRACTION; FAILURE ANALYSIS; FAULT DETECTION; IMAGE DENOISING; NEAREST NEIGHBOR SEARCH; PARTICLE SWARM OPTIMIZATION (PSO); PETROLEUM RESERVOIR EVALUATION; SUPPORT VECTOR MACHINES;

CURSE OF DIMENSIONALITY; DISTANCE EVALUATION TECHNIQUES; EMPIRICAL MODE DECOMPOSITION; FAULT DIAGNOSIS SCHEMES; FEATURE EXTRACTION TECHNIQUES; PARTICLE SWARM OPTIMISATION; PATTERN RECOGNITION PROBLEMS; PROBABILISTIC NEURAL NETWORKS;

FEATURE EXTRACTION;

EID: 84940879120     PISSN: 17518822     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-smt.2014.0228     Document Type: Article

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