FAULT DETECTION OF A THREE PHASE INDUCTION MOTOR

ON-LINE FAULT DETECTION AND LOCALIZATION IN THREE-PHASE INDUCTION MOTOR DRIVE SYSTEMS

NEURAL NETWORK-BASED APPROACH FOR DETECTION AND MAGNITUDE DETERMINATION OF TURN FAULTS IN INDUCTION MOTORS

EVALUATION OF FAULT DETECTION TECHNIQUES USED FOR INDUCTION MOTOR WITH STATOR WINDING TURN FAULT

DETECTION AND CLASSIFICATION OF PHASE FAILURE FAULTS FOR A THREE-PHASE INDUCTION MOTOR USING ALGORITHM BASED ON RULES DERIVED FROM SIMULATION OF THESE FAULTS

PREDICTIVE MAINTENANCE BASED ON EARLIER FAULT DETECTION OF MULTI PHASE INDUCTION MACHINES USING NEURAL NETWORK ARTIFICIAL INTELLIGENT TECHNIQUES

CONDITION MONITORING AND FAULT DIAGNOSIS OF ROTATING MACHINERY USING WAVELET AND NEURAL NETWORKS APPROACHES

Diagnosis of the Electric Vehicles Synchronous Motors Faults Using Signal Analysis Techniques

Fuzzy Logic Based Induction Motor Condition Monitoring

ADAPTIVE MODEL FOR THREE-PHASE INDUCTION MOTOR USING NEURAL NETWORK