Abstract
This paper deals with the monitoring and the diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach. Stator current Park's vector patterns are, in this case, first learned, using artificial neural networks, and then used to discern between a healthy and a faulty induction motor.
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