Improvement of induction motor fault diagnosis performance by using genetic algorithm-based feature selection

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

Volumn 222, Issue 8, 2008, Pages 1613-1619

  Nguyen, N T ^a   Lee, H H ^a  

^a University of Ulsan   (South Korea)

Author keywords

Decision tree; Distance criteria; Fault diagnosis; Feature selection; Genetic algorithm; K nearest neighbour

Indexed keywords

AC MOTORS; ALGORITHMS; BOOLEAN FUNCTIONS; DECISION MAKING; DECISION THEORY; DECISION TREES; ELECTRIC FAULT CURRENTS; GENETIC ALGORITHMS; INDUCTION MOTORS; MATHEMATICAL MODELS;

DECISION TREE; DISTANCE CRITERIA; FAULT DIAGNOSIS; FEATURE SELECTION; GENETIC ALGORITHM; K-NEAREST NEIGHBOUR;

TREES (MATHEMATICS);

EID: 51449100356     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544062JMES913     Document Type: Article

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