A comparison between MLP NN and RBF NN techniques for the detection of stator inter-turn fault of an induction motor

摘要

This paper presents a comparison between multilayer perceptron neural network (MLP NN) and Radial basis feedforward neural network (RBF NN) techniques for the detection of inter-turn short circuit fault in stator winding of an induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.