Faults diagnosis in stator windings of high speed solid rotor induction motors using fuzzy neural network

The paper deals with faults diagnosis method proposed to detect the inter-turn and turn earth short circuit in stator winding of three-phase high-speed solid rotor induction motors. This based on negative sequence current motor fuzzy neural network algorithm. On basis analysis 2-D electromagnet field impedance has been derived develop equivalent circuit. is simulated by MATLAB software study record data for training testing method. numerical results approach are evaluated using simulation a solid-rotor two-pole, 140 Hz. shows that fast efficient detecting motors different conditions