Static eccentricity fault detection in Flux Switching Permanent Magnet machines

Darmani, Mostafa Ahmadi; Mirimani, Seyyed Mehdi; Marignetti, Fabrizio; Pour, Alireza Ghaemi

Abstract

This paper studies the effects of static eccentricity (SE) in Flux Switching Permanent Magnet (FSPM) Machines to propose a criterion for fault detection. SE is one of the most common mechanical faults in electrical machines on. In order to achieve this goal, the proposed machine is studied under different degrees of static eccentricity fault to analyze machine condition. Finite element modeling (FEM) as the most accurate numerical approach is used to obtain precise results. The magnetic flux distribution of rotor and stator are calculated. In addition, air-gap flux density as a parameter which has a direct impact on back-EMF is assessed by using finite element analysis (FEA). It is found that static eccentricity has noticeable influences on back-EMF of coils of the machine. Furthermore, Fourier analysis is performed in order to achieve appropriate index for the diagnosis process. The results are provided for the healthy machine and the machine with different values of SE and the proposed index has been derived for the fault detection process in the machine.

Citation

Darmani, M. A., Mirimani, S. M., Marignetti, F., & Pour, A. G. (2016, June). Static eccentricity fault detection in Flux Switching Permanent Magnet machines. Presented at 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Capri, Italy

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
• Start Date: Jun 22, 2016
• End Date: Jun 24, 2016
• Online Publication Date: Aug 1, 2016
• Publication Date: 2016-06
• Deposit Date: Jul 18, 2024
• Publicly Available Date: Oct 31, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 605-610
• ISBN: 9781509020676
• DOI: https://doi.org/10.1109/speedam.2016.7525856
• Public URL: https://nottingham-repository.worktribe.com/output/24426475
• Publisher URL: https://ieeexplore.ieee.org/document/7525856