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State-based risk frequency estimation of a rail traffic signal system

机译：基于状态的铁路交通信号系统风险频率估计

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摘要

The rail traffic signal system is a safety-related system. According to the strict requirement of safety, the use of international safety standards it requires in order to carry out the systemic safety assessment. Risk frequency estimation plays a key role in the process of risk-based safety assessment. Thus in this paper, firstly, the existing risk frequency analysis methods are studied, then a state-based fault tree model based on the original fault tree model and Markov stochastic process model is proposed. After that, the state-based risk frequency estimation flow of the rail traffic signal system is summarized. Lastly, we give an example of the micro-computerized automatic block system between railway stations with the wrong cancelling block. Then the state-based fault tree model is established and its risk frequency quantitatively calculated. The method can analyse the risk frequency of rail traffic signal systems scientifically and accurately and solve the quantitative analysis issues of risk frequency in dynamic random systems effectively.
机译：铁路交通信号系统是与安全相关的系统。根据严格的安全要求，需要使用国际安全标准才能进行系统安全评估。风险频率估算在基于风险的安全评估过程中起着关键作用。因此，本文首先研究了现有的风险频率分析方法，然后提出了基于原始故障树模型和马尔可夫随机过程模型的基于状态的故障树模型。在此之后，总结了基于状态的铁路交通信号系统的风险频率估计流程。最后，我们给出了一个带有错误取消块的火车站之间的微型计算机自动块系统的例子。然后建立基于状态的故障树模型，并定量计算其风险频率。该方法可以科学，准确地分析轨道交通信号系统的风险频率，有效地解决了动态随机系统中风险频率的定量分析问题。

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