A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors

Electric Power Systems Research

Volumn 127, Issue , 2015, Pages 249-258

  Cunha Palácios, Rodrigo H ^a,b   Da Silva, Ivan Nunes ^a   Goedtel, Alessandro ^b   Godoy, Wagner F ^a,b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

Bearing; Fault; Pattern recognition; Rotor; Stator; Three phase induction motor

Indexed keywords

AC MOTORS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); CLASSIFICATION (OF INFORMATION); DECISION TREES; FAULTING; INDUCTION MOTORS; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; ROTORS; STATORS; TIME DOMAIN ANALYSIS;

COMPREHENSIVE EVALUATION; ELECTROMECHANICAL ENERGY; FAULT IDENTIFICATIONS; INTELLIGENT CLASSIFIERS; MACHINE MAINTENANCE; MULTI LAYER PERCEPTRON; SEQUENTIAL MINIMAL OPTIMIZATION; THREE PHASE INDUCTION MOTOR;

ROTORS (WINDINGS);

EID: 84933556220     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2015.06.008     Document Type: Article

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