Induction Motors Stator Fault Analysis based on Artificial Intelligence

Hussein Taha Hussein, Mohamed Ammar, Mohamed Moustafa Hassan

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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DOI: http://doi.org/10.11591/ijeecs.v2.i1.pp69-78

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES).

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