TY - GEN
T1 - Fast Diagnosis of Faults with One-Phase High-Resistance Characteristics in FPPMSM
AU - Liu, Wei
AU - Yuan, Zihang
AU - Tong, Chengde
AU - Wang, Mingqiao
AU - Zheng, Ping
N1 - Publisher Copyright:
© 2024 The Institute of Electrical Engineers of Japan.
PY - 2024
Y1 - 2024
N2 - Five phase permanent magnet synchronous machine (FPPMSM) has broad application prospects in the fields of electric vehicles and aerospace, due to its good fault tolerance. In order to improve the reliability of motor operation, rapid and accurate identification and differentiation of faults are prerequisites. Both high-resistance connection faults (HRCF) and partial winding open-circuit faults (PWOCF) have single-phase high resistance characteristics, which are difficult to distinguish. A novel fast diagnostic method is proposed in this paper, where the mechanism between two types of faults are compared based on the characteristics of multiphase machine. At the same time, the short-time five-phase current information is fully utilized to reconstruct the phase currents of an electrical cycle by singular spectrum analysis. Finally, the accuracy and speed of the diagnostic method were verified by comparing the information and time used for diagnosis.
AB - Five phase permanent magnet synchronous machine (FPPMSM) has broad application prospects in the fields of electric vehicles and aerospace, due to its good fault tolerance. In order to improve the reliability of motor operation, rapid and accurate identification and differentiation of faults are prerequisites. Both high-resistance connection faults (HRCF) and partial winding open-circuit faults (PWOCF) have single-phase high resistance characteristics, which are difficult to distinguish. A novel fast diagnostic method is proposed in this paper, where the mechanism between two types of faults are compared based on the characteristics of multiphase machine. At the same time, the short-time five-phase current information is fully utilized to reconstruct the phase currents of an electrical cycle by singular spectrum analysis. Finally, the accuracy and speed of the diagnostic method were verified by comparing the information and time used for diagnosis.
KW - fault diagnosis
KW - high-resistance connection
KW - open-circuit fault
KW - permanent magnet synchronous machine
UR - https://www.scopus.com/pages/publications/105002365316
U2 - 10.23919/ICEMS60997.2024.10921054
DO - 10.23919/ICEMS60997.2024.10921054
M3 - 会议稿件
AN - SCOPUS:105002365316
T3 - 2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024
SP - 1394
EP - 1398
BT - 2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Electrical Machines and Systems, ICEMS 2024
Y2 - 26 November 2024 through 29 November 2024
ER -