Monitoring and Diagnosis of External Faults in Three Phase Induction Motors Using Artificial Neural Network

This paper addresses the possibility of integration of an external motor faults (e.g., phase failure, unbalanced voltage, locked rotor, undervoltage, overvoltage, phase sequence reversal of supply voltage, mechanical overload) monitoring and diagnostic technique into batch simulation with a digital protection set by using an artificial neural network (ANN) for a three-phase induction motor. The proposed set-up has been simulated using"Matlab/Simulink" Software and tested for external motor faults. The simulated results clearly show that well-trained neural networks can precisely of early fault detection, diagnosis of external faults induction motor, also validating the proposed setup as a simple, reliable and effective protection for the three-phase induction motor fault identification scheme using an artificial neural network (ANN).