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Operation-oriented reliability and availability evaluation for onboard high-speed train control system with dynamic Bayesian network

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  • Lei Jiang
  • Yiliu Liu
  • Xiaomin Wang
  • Mary Ann Lundteigen

Abstract

The reliability and availability of the onboard high-speed train control system are important to guarantee operational efficiency and railway safety. Failures occurring in the onboard system may result in serious accidents. In the analysis of the effects of failure, it is significant to consider the operation of an onboard system. This article presents a systemic approach to evaluate the reliability and availability for the onboard system based on dynamic Bayesian network, with taking into account dynamic failure behaviors, imperfect coverage factors, and temporal effects in the operational phase. The case studies are presented and compared for onboard systems with different redundant strategies, that is, the triple modular redundancy, hot spare double dual, and cold spare double dual. Dynamic fault trees of the three kinds of onboard system are constructed and mapped into dynamic Bayesian networks. The forward and backward inferences are conducted not only to evaluate the reliability and availability but also to recognize the vulnerabilities of the onboard systems. A sensitivity analysis is carried out for evaluating the effects of failure rates subject to uncertainties. To improve the reliability and availability, the recovery mechanism should be paid more attention. Finally, the proposed approach is validated with the field data from one railway bureau in China and some industrial impacts are provided.

Suggested Citation

  • Lei Jiang & Yiliu Liu & Xiaomin Wang & Mary Ann Lundteigen, 2019. "Operation-oriented reliability and availability evaluation for onboard high-speed train control system with dynamic Bayesian network," Journal of Risk and Reliability, , vol. 233(3), pages 455-469, June.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:3:p:455-469
    DOI: 10.1177/1748006X18800630
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    References listed on IDEAS

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    Cited by:

    1. Yuanchen Zeng & Dongli Song & Weihua Zhang & Bin Zhou & Mingyuan Xie & Xiaoyue Qi, 2021. "Risk assessment of wheel polygonization on high-speed trains based on Bayesian networks," Journal of Risk and Reliability, , vol. 235(2), pages 182-192, April.
    2. Yi Yang & John Dalsgaard Sørensen, 2020. "Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network," Energies, MDPI, vol. 13(19), pages 1-27, October.

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