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In this paper, a quantitative evaluation of the flux-switching permanent magnet (FSPM) machine system reliability is carried out based on the Markov model. The evaluation model of the permanent magnet machine system consists of six main functional components and their dominant failure modes are counted. The performance of the FSPM machine system under each fault is simulated and compared with the reliability criteria to judge the reliability state of the machine system. The Markov model is used to calculate the FSPM machine system reliability. The influence of machine phase number, stator core topology, and hybrid excitation method on the machine system reliability is investigated. The experiments are presented to validate the accuracy of fault simulation. The reliability analysis results lay the foundation for the reliability design of an FSPM machine.
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Li et al. (2018) studied this question.
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