Neuro-Fuzzy design for external fault diagnosis of

Intelligent drive control methods are very much essential for the efficient use of Induction motors in various industrial production processes. Fault diagnosis of induction motor drives is based on the Voltages, Currents and Speed. In this paper hybrid structures of Neuro-Fuzzy (BPN with Fuzzy logic) are proposed for external fault diagnosis of induction motor drive. The results are analyzed based on the overall improvement and performance of the machine.