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Inspired from the increasing interest of Artificial Intelligence (AI) applications, this work presents a novel approach for Bearing Fault (BF) detection in induction motor (IM) using a combination of artificial immune Network (aiNet) and Undecimated Wavelet Packet Transform (UWPT). Several studies prove that bearing defects are the main cause of the IM failure. Thus, the detection of bearing faults (BF) has become the key issue to enhance the IM reliability and to decrease its downtime. To evaluate this approach, different bearing faults were experimented and the effectiveness of the suggested approach is then verified.