An integrated method of resilience and risk assessment for maintenance strategy optimization of a train braking system

Jinduo Xing, Wei Yang, Xiaoliang Yin and Enrico Zio

Reliability Engineering and System Safety, 2025, vol. 260, issue C

Abstract: In this work, an integrated method based on system resilience and risk assessment is proposed to improve train braking safety by enhancing the system absorptive capacity and optimizing the recovery trajectory. Performance indexes are developed by considering the braking system topology connection, functional performance and availability. The absorptive and recovery capacity of the system are evaluated by risk and resilience, and the outcomes are used to improve operation and maintenance strategies. In particular, maintenance policy is determined by an optimization algorithm that aims to maximize system resilience. A 120-type air brake system assembled in the C80 trains is considered as a case study. The results of application show that the method can help to achieve high performance of the braking system.

Keywords: Train braking system; Bayesian network; Resilience; Risk assessment; Maintenance optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:260:y:2025:i:c:s0951832025001322

DOI: 10.1016/j.ress.2025.110929

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