Local Demagnetization Fault Detection in PMASynRM based on Finite Element Modeling and Characterisation
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society(2022)
摘要
Good overall performances and efficiency of Permanent Magnet Synchronous Machines (PMSMs) are highly impacted by irreversible demagnetization faults. This paper proposes to analyze the electromagnetic behavior of a faulty Permanent Magnet Assisted Synchronous Reluctance Motor (PMASynRM) with neodymium-iron-boron (NdFeB) rare-earth magnets, in order to identify fault signatures and develop an efficient fault indicator. Finite Element Analysis (FEA) is used to model different demagnetization defects and evaluate precisely post-demagnetization characteristics of the baseline machine. The study focuses on flux and back-emf time and frequency analysis for its high potential to identify low severity fault signatures. The results show that the frequency spectrum of the Zero-Sequence Back-Emf Component (ZSBEC) calculated using fast Fourier transform (FFT) can be used to develop a fault detection index which allows quantifying, with high sensitivity, the severity of irreversible demagnetization faults in PMASynRMs.
更多查看译文
关键词
PMASynRM,demagnetization,NdFeB magnets,FE analysis,back-emf,FFT,fault detection,zero-sequence back-emf component
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要