Air gap eccentricity faults in five-phase ferrite-assisted synchronous reluctance motors\n(fPMa-SynRMs) tend to distort the magnetic flux in the air gap, which in turn affects the spectral\ncontent of both the stator currents and the ZSVC (zero-sequence voltage component). However,\nthere is a lack of research dealing with the topic of fault diagnosis in multi-phase PMa-SynRMs, and in\nparticular, those focused on detecting eccentricity faults. An analysis of the spectral components\nof the line currents and the ZSVC allows the development of fault diagnosis algorithms to detect\neccentricity faults. The effect of the operating conditions is also analyzed, since this paper shows that\nit has a non-negligible impact on the effectivity and sensitivity of the diagnosis based on an analysis of\nthe stator currents and the ZSVC. To this end, different operating conditions are analyzed. The paper\nalso evaluates the influence of the operating conditions on the harmonic content of the line currents\nand the ZSVC, and determines the most suitable operating conditions to enhance the sensitivity of\nthe analyzed methods. Finally, fault indicators employed to detect eccentricity faults, which are based\non the spectral content of the stator currents and the ZSVC, are derived and their performance is\nassessed. The approach presented in this work may be useful for developing fault diagnosis strategies\nbased on the acquisition and subsequent analysis and interpretation of the spectral content of the line\ncurrents and the ZSVC.
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