@article{ref1,
title="Inter-turn short circuit fault diagnosis for motors based on multi-level fine model",
journal="China safety science journal (CSSJ)",
year="2022",
author="Yu, W. and Wang, Z. and Liu, S. and He, G.",
volume="32",
number="6",
pages="95-102",
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.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2022.06.2597",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.06.2597"
}