Citation

Yu W, Wang Z, Liu S, He G. China Saf. Sci. J. 2022; 32(6): 95-102.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.06.2597

PMID

unavailable

Abstract

In order to effectively diagnose turn-to-turn short circuit faults during operation of metro rail transit motors, a diagnosis method was proposed, which established a multi-level fine model of permanent magnet synchronous motor system based on fractional order calculus representation (integer order, 0. 1 level fractional order, 0. 01 level fractional order). Then, corresponding multi-level observer was designed, residual representation was generated, and threshold was set. Finally, multi-level fault diagnosis was achieved according to residual and threshold before simulation was conducted for verification. The results show that integer-order model can detect 20% inter-turn short-circuit faults, while 0. 1 - level fractional-order model detects 10% and the 0. 01-level one detects 5% of tiny faults, which indicates that the proposed method can diagnose tiny inter-turn short-circuit faults and achieve fault classification. © 2022 China Safety Science Journal. All rights reserved.

Language: zh