Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal

New Review of Hypermedia and Multimedia

Volumn 19, Issue 3-4, 2013, Pages 248-258

  Nguyen, Dinh ^a   Kang, Myeongsu ^a   Kim, Cheol Hong ^b   Kim, Jong Myon ^a  

^a University of Ulsan   (South Korea)

^b Chonnam National University   (South Korea)

Author keywords

Fault classification; Feature extraction; Induction motor; Multiclass support vector machines; State monitoring system

Indexed keywords

CLASSIFICATION ACCURACY; FAULT CLASSIFICATION; MULTI-CLASS SUPPORT VECTOR MACHINES; NOISY ENVIRONMENT; STATE MONITORING; STATE-OF-THE-ART ALGORITHMS; VIBRATION SIGNAL; WHITE GAUSSIAN NOISE;

FEATURE EXTRACTION; INDUCTION MOTORS; MONITORING;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84888638778     PISSN: 13614568     EISSN: 17407842     Source Type: Journal    
DOI: 10.1080/13614568.2013.832407     Document Type: Article

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