Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings

Mechanical Systems and Signal Processing

Volumn 66-67, Issue , 2016, Pages 533-545

  Zeng, Ming ^a   Yang, Yu ^a   Zheng, Jinde ^a   Cheng, Junsheng ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Fault diagnosis; Flexible convex hull; Maximum margin classification; Roller bearings

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER AIDED DIAGNOSIS; FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; LEARNING SYSTEMS; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS;

CONVEX HULL; DISTANCE EVALUATION TECHNIQUES; EMPIRICAL MODE DECOMPOSITION; INTRINSIC MODE FUNCTIONS; MAXIMUM MARGIN; MULTICLASS CLASSIFICATION PROBLEMS; STATISTICAL FEATURES; STATISTICAL PARAMETERS;

FAULT DETECTION;

EID: 84955633182     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2015.06.006     Document Type: Article

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