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Timed Fault Tree Models of the China Yongwen Railway Accident

机译:中国永文铁路事故的定时故障树模型

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摘要

Safety is an essential requirement for railway transportation. There are many methods that have been developed to predict, prevent and mitigate accidents in this context. All of these methods have their own purpose and limitations. This paper presents a new useful analysis technique: timed fault tree analysis. This method extends traditional fault tree analysis with temporal events and fault characteristics. Timed Fault Trees (TFTs) can determine which faults need to be eliminated urgently, and it can also provide a safe time window to repair them. They can also be used to determine the time taken for railway maintenance requirements, and thereby improve maintenance efficiency, and reduce risks. In this paper, we present the features and functionality of a railway transportation system based on timed fault tree models. We demonstrate the applicability of our framework via a case study of the China Yongwen line railway accident.
机译:安全是铁路运输的必要要求。 已经开发了许多方法来预测,预防和减轻这种情况下的事故。 所有这些方法都有自己的目的和局限性。 本文提出了一种新的有用分析技术:定时故障树分析。 此方法使用时间事件和故障特性扩展了传统的故障树分析。 定时故障树(TFT)可以急需删除需要删除哪些故障,它也可以提供安全的时间窗口来修复它们。 它们还可用于确定铁路维护要求所采取的时间,从而提高维护效率,降低风险。 在本文中,我们介绍了基于定时故障树模型的铁路运输系统的特征和功能。 我们展示了我们框架的适用性,通过对中国永文线铁路事故的案例研究。

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