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Incipient Fault Detection for Traction Motors of High-Speed Railways Using an Interval Sliding Mode Observer

Zhang, Kangkang, Jiang, Bin, Yan, Xing-Gang, Mao, Zehui (2018) Incipient Fault Detection for Traction Motors of High-Speed Railways Using an Interval Sliding Mode Observer. IEEE Transactions on Intelligent Transportation Systems, 20 (7). pp. 2703-2714. ISSN 1524-9050. E-ISSN 1558-0016. (doi:10.1109/TITS.2018.2878909) (KAR id:70184)

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http://dx.doi.org/10.1109/TITS.2018.2878909

Abstract

This paper proposes a stator-winding incipient shorted-turn fault detection method for the traction motors used in China high-speed railways. Firstly, a mathematical description for incipient shorted-turn faults is given from the quantitative point of view to preset the fault detectability requirement. Then, an interval sliding mode observer is proposed to deal with uncertainties caused by measuring errors from motor speed sensors. The active robust residual generator and the corresponding passive robust threshold generator are proposed based on this particularly designed observer. Furthermore, design parameters are optimized to satisfy the fault detectability requirement. This developed technique is applied to an electrical traction motor to verify its effectiveness and practicability.

Item Type: Article
DOI/Identification number: 10.1109/TITS.2018.2878909
Uncontrolled keywords: Incipient fault detection; interval sliding mode observer; traction motors
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 19 Nov 2018 12:09 UTC
Last Modified: 16 Feb 2021 13:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70184 (The current URI for this page, for reference purposes)
Yan, Xing-Gang: https://orcid.org/0000-0003-2217-8398
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