Induction motor fault diagnosis based on the k-NN and optimal feature selection

International Journal of Electronics

Volumn 97, Issue 9, 2010, Pages 1071-1081

  Nguyen, Ngoc Tu ^a   Lee, Hong Hee ^b  

^a Ho Chi Minh City University of Technology   (Viet Nam)

^b University of Ulsan   (South Korea)

Author keywords

fault diagnosis; genetic algorithm; induction motor; k nearest neighbour; vibration signal

Indexed keywords

CLASSIFICATION PERFORMANCE; DISTANCE CRITERION; FAULT DIAGNOSIS; FEATURE SELECTION; INDUCTION MOTOR FAULT DIAGNOSIS; K-NEAREST NEIGHBOUR (K-NN); K-NEAREST NEIGHBOURS; QUALITY FEATURES; SUPPORT VECTOR MACHINE CLASSIFICATION; TEST PATTERN; VIBRATION SIGNAL; WEIGHT FACTOR; WEIGHT VALUES;

FEATURE EXTRACTION; GENETIC ALGORITHMS; OPTIMIZATION;

INDUCTION MOTORS;

EID: 77957121045     PISSN: 00207217     EISSN: 13623060     Source Type: Journal    
DOI: 10.1080/00207217.2010.482023     Document Type: Article

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