FFT Tool for Stator Winding Fault Detection: Application to a Permanent Magnet Synchronous Motor

This paper presents a design modeling of short circuit faults in the stator windings for a Permanent Magnet Synchronous Machine (PMSM). The studied approach is based on developing two mathematical models describing the studied machine's healthy and faulty states. Furthermore, to study the behavior of the overall system, formed by the considered machine and its drive, a dynamic model of the drive is elaborated to study its comportment in various fault conditions. Based on frequency analysis, the Fast Fourier Transform (FFT) is adopted to detect the occurrence of short-circuited turns to highlight relevant features revealing the stator winding faults. The spectral analysis of the stator current decomposition shows the total harmonic distortion (THD), which can be used as a reliable predictor of (ITSC) faults. Simulation results for the “healthy” and “faulty” states of the machine show the application contribution of the FFT for stator fault detection.