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Incipient Sensor Fault Detection for Inverter Devices in Electric Railway Traction Systems

Zhang, Kangkang, Jiang, Bin, Yan, Xinggang, Mao, Zehui (2017) Incipient Sensor Fault Detection for Inverter Devices in Electric Railway Traction Systems. In: Proceedings of the 36th Chinese Control Conference. . pp. 7482-7487. IEEE ISBN 978-1-5386-2918-5. E-ISBN 978-988-15639-3-4. (doi:10.23919/ChiCC.2017.8028538) (KAR id:63584)

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Official URL
http://dx.doi.org/10.23919/ChiCC.2017.8028538

Abstract

This paper proposes an incipient sensor fault detection method for three-phase PWM inverter devices in electric railway traction systems. An adaptive and sliding mode unknown input observer is designed for sensor faulty inverter system. The invariant ellipsoid is used to generate threshold. The parameters of the observer are particularly designed such that the estimation errors converge to the threshold invariant ellipsoid before the sensor fault develops to incipient fault degree, and the estimation errors exceed the threshold after the sensor fault develops to incipient fault degree. Finally, simulations based on the traction system in CRH2 (China Railway High-speed) are presented to verify the effectiveness of the proposed method.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.23919/ChiCC.2017.8028538
Subjects: T Technology > T Technology (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 26 Sep 2017 15:38 UTC
Last Modified: 16 Feb 2021 13:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63584 (The current URI for this page, for reference purposes)
Yan, Xinggang: https://orcid.org/0000-0003-2217-8398
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