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
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.
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