Chouidira, IbrahimKhodja, Djalal EddineChakroune, Salim2021-01-102021-01-1020191958-5748doi.org/10.18280/ria.330604http://www.iieta.org/journals/ria/paper/10.18280/ria.330604https://dspace.univ-boumerdes.dz/handle/123456789/6098The objective of this study is to present artificial intelligence (AI) technique for detection and localization of fault in induction machine fault, through a multi-winding model for the simulation of four adjacent broken bars and three-phase model for the simulation of short-circuit between turns. In this work, it was found that the application of artificial neural networks (ANN) based on Root mean square values (RMS) plays a big role for fault detection and localization. The simulation and obtained results indicate that ANN is able to detect the faulty with high accuracyenInduction machineFaults detection and localizationBroken barsArticle