Induction Motor Single Phasing Fault Detection using different Artificial Intelligent Techniques

Abstract

In this paper, the numbers of artificial intelligent techniques are applied to detect the induction motor single phasing fault at no load as well as different load conditions. For this work we have taken the three phase shifts between the phase voltage and line currents as the inputs to the different neural networks. The three phase shifts can be generated by conducting the number of tests of an induction motor by help of the D-Space. This paper presents a comparision between all the neural networks that how effectively it to detect the single phasing fault of a three phase induction motor. The analysis and simulated results are presented in this paper for the verification of the feasibility.