Induction Motors Stator Fault Analysis based on Artificial Intelligence

Hussein Taha Hussein (Cairo University)
Mohamed Ammar (Cairo University)
Mohamed Moustafa Hassan (Cairo University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 2, No 1: April 2016

This article presents a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on the stator current and modelling in the dq frame using an Adaptive Neuro-Fuzzy artificial intelligence approach. The developed fault analysis method is illustrated using MATLAB simulations. The obtained results are promising based on the new fault detection approach.