Gear fault detection based on adaptive wavelet packet feature extraction and relevance vector machine

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

Volumn 225, Issue 11, 2011, Pages 2727-2738

  Li, N ^a   Liu, C ^a   He, C ^a   Li, Y ^a   Zha, X F ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Condition monitoring; Fault detection; Fault diagnosis; Relevance vector machine; Support vector machine; Wavelet packet transform

Indexed keywords

ADAPTIVE WAVELET PACKETS; BAYESIAN LEARNING FRAMEWORK; DETECTION METHODS; FISHER CRITERION; GEAR FAULT DETECTION; INCIPIENT FAULT DETECTION; MOVING AVERAGES; NODE ENERGY; ON-LINE FAULT DETECTION; OPTIMAL DECOMPOSITION; RELEVANCE VECTOR MACHINE; STATISTICAL CHARACTERISTICS; STATISTICAL PATTERN RECOGNITION; SUPPORT VECTOR; TIME DOMAIN; TRAINING SAMPLE; WAVELET DOMAIN; WAVELET PACKET; WAVELET PACKET TRANSFORMS;

CONDITION MONITORING; ELECTRIC FAULT LOCATION; FAILURE ANALYSIS; FEATURE EXTRACTION; GEARS; OPTIMIZATION; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS; VECTORS; WAVELET DECOMPOSITION;

FAULT DETECTION;

EID: 81255195691     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406211400691     Document Type: Article

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