Condition monitoring of induction motor using Artificial Neural Network

This paper deals with stator fault detection of induction motor. Mathematical modeling of induction motor for healthy and stator fault condition are explained. In this paper Artificial Neural Network technique is applied for stator fault detection in induction motor. By collecting the simulation data from the mathematical model developed in MATLAB simulink, ANN is trained. 16 different parameters of induction motor have been taken to train the neural network. ANN gives best performance with 10 neurons in hidden layer. The results clearly show that trained neural network can precisely detect the faults before any major problem occurs.