Title :
Fault diagnosis of high-resistance connection in nine-phase flux-switching permanent magnet machine
Author :
Jun Hang;Jianzhong Zhang;Ming Cheng;Feng Yu;Feng Li
Author_Institution :
School of Electrical Engineering, Southeast University, China
Abstract :
This paper presents a fault diagnosis technique for high-resistance connection (HRC) in nine-phase flux switching permanent magnet (FSPM) machine, which is based on zero sequence voltage components (ZSVC). Firstly, a nine-phase FSPM machine topology is introduced and no-load back electromotive force (EMF) waveforms are analyzed. Then the nine-phase FSPM machine with HRC is modeled and the influence of the HRC on the ZSVC is analyzed based on the established model. It is shown that the HRC may be diagnosed by monitoring the change of the spectral contents of the ZSVC. The simulation and experiment are carried out to verify the proposed method. Both the results show that the proposed method can be effectively applied for the HRC fault diagnosis in nine-phase FSPM machine.
Keywords :
"Fault diagnosis","Permanent magnet machines","Analytical models","Decision support systems","Switches","Permanent magnets","Topology"
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2015 18th International Conference on
DOI :
10.1109/ICEMS.2015.7385313