Eccentricity fault detection in multiphase permanent magnet assisted synchronous reluctance motor

Abstract

This paper presents fault detection and its analysis for permanent magnet assisted synchronous reluctance motor (PMa-SynRM). The PMa-SynRM has been increasingly studied for critical service application where high efficiency and reliability is required in industry. However, the research on the fault in a PMa-SynRM has been limitedly studied, and no study on the eccentricity fault diagnosis for multiphase PMa-SynRM has been documented so far. The three-phase and five-phase PMa-SynRM has been comparatively analyzed under eccentricity condition to identify a fault diagnosis index which is independent from phase numbers. The simulation model for PMa-SynRM has been developed using finite element method (FEM). Through FEM, static eccentricity (SE), dynamic eccentricity (DE) and mixed eccentricity (ME) are designed to evaluate the performance of the multiphase PMa-SynRM motors under faulty conditions. The fault features have been extracted through average torque, torque ripple, and back-EMF harmonics. Theoretical analysis with designed motors has been done to evaluate extracted features under eccentricity condition.