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Hussein Taha Hussein
Cairo University

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Induction Motors Stator Fault Analysis based on Artificial Intelligence Hussein Taha Hussein; Mohamed Ammar; Mohamed Moustafa Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp69-78

Abstract

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.
Co-Authors Mohamed Ammar Mohamed Moustafa Hassan