Inter-Turn Stator Winding fault Diagnosis for Permanent Magnet Synchronous Motor based Power Spectral Density Estimators

The inter-turn Stator Winding fault diagnostic system for Permanent Magnet Synchronous Motor is a substantial concern because of its consequential effects on electrical powertrain performance. However, extracting the characteristic of the fault can be difficult at the presence of additional interferences. Under this constraint, the present article suggests a new technique for inter-turn stator winding fault diagnosis. The detection method is mainly based on calculating the stator current Power Spectral Density. Primary, the model of Permanent Magnet Synchronous Motor under faulty operating condition is established by considering some parameters assigned to fault severity and fault location. Afterward, two Power Spectral Density methods have been compared in terms of their frequency resolution, and their effect in fault spectral components determination. These methods are namely the Welch and Autoregressive model based Burg. The results obtained confirm the preponderance of the Welch method over the Burg estimator in fault characteristics extraction for big record data.