Improved Detection of Inter-turn Short Circuit Faults in PMSM Drives using Principal Component Analysis

In this paper, a new online algorithm for detection and location of inter-turn short circuit fault in permanent magnet synchronous motor (PMSM) drives is presented. The developed algorithm is based on the well-know classical Park's Vector Approach (PVA), extended by the Principal Component Analysis (PCA) method. The PCA extension provides a significantly better robustness of the detecting performance against signal noise and allows to locate the fault phase. The detection, location of interturn short circuit fault as well as the noise tolerance is proven by simulation results under real-time conditions.