Electric motor faults diagnosis using artificial neural networks

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 46, Issue 10, 2004, Pages 616-621

  Li, Lingxin ^a   Mechefske, C K ^a   Li, Weidong ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); ELECTRIC CURRENTS; ELECTRIC MOTORS; FEEDFORWARD NEURAL NETWORKS; ROTORS (WINDINGS); SELF ORGANIZING MAPS; STATORS; VIBRATIONS (MECHANICAL);

BEARING FAULTS; ELECTRIC MOTOR FAULT; FAULT DIAGNOSIS; STATOR WINDING FAULTS;

NONDESTRUCTIVE EXAMINATION;

EID: 7244236286     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.46.10.616.45210     Document Type: Article

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