The detection of Inter-Turn Short Circuit (ITSC) in electrical machines is a critical operation, particularly in electric vehicle motor drives. In this paper, a hybrid approach of Fuzzy logic type-2 (T2-FL) and Extended Kalman Filter (EKF) is proposed in order to detect ITSC fault in Permanent Magnet Synchronous Motor (PMSM) released by Matlab/Simulink. The PMSM stator resistance is estimated through FL type-2, while the motor current, rotor speed, and rotor angular are estimated by the Extended Kalman Filter, taking advantage of its dynamic features. The results under high value and poor visibility of the ITSC resistance fault show that the RMSE of the fault current is 0.2303. Moreover, the comparison of the FL type-2 EKF strategy with the conven-tional EKF and FL-EKF approaches led to a significant optimization in both speed control and ITSC fault detection.