Zuo, W and Li, K orcid.org/0000-0001-6657-0522 (2022) Three-state Markov chain based reliability analysis of complex traction power supply systems. In: 2021 5th International Conference on System Reliability and Safety (ICSRS). 2021 5th International Conference on System Reliability and Safety, 24-26 Nov 2021, Palermo, Italy. IEEE , pp. 74-79. ISBN 978-1-6654-0049-7
Abstract
The reliability of traction power supply systems (TPSSs) is an important consideration in railway electrification and development of high-speed rail. The state analysis of the whole system and individual components often involves the construction of an appropriate system model. The Markov chain has been widely used to evaluate random processes quantitatively and is suitable for the reliability analysis of complex systems with multiple failure modes. A challenge with the Markov chain approach is the curse of dimensionality and its computational complexity increases exponentially with the number of system components. This paper proposes to use a three-state model and system regionalization based on the specific structural features of the TPSS. The failure probability of TPSS over time is analyzed and a new simplified method to compute the average system availability index is developed to evaluate system reliability. Simulation studies confirm that the proposed approach can derive a rich set of reliability indexes, and the reliability of TPSSs can be effectively evaluated.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This item is protected by copyright. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Markov chain; reliability analysis; TPSS availability index; average availability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Dec 2021 15:28 |
Last Modified: | 05 Aug 2023 04:43 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICSRS53853.2021.9660623 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181435 |