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Comparative quantitative risk assessment of railway safety devices

机译:铁路安全装置的定量风险比较评估

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Railways are complex systems and currently much more effort is put into quantification of risks of changes in the system, and of new safety devices. In particular, when the risk assessment largely depends on human handling and communication between track workers and train traffic control, a more detailed analysis is required. The risk comparison approach presented in here will be illustrated for out-of-service situations of railroad tracks. The approach taken applies the following techniques: (1) fault trees are used (or developed) to provide an in-depth analysis of the technical and human failure modes. Communication errors are part of the fault tree basic events; (2) for both new and existing safety devices, the mutual differences in the branches of the fault tree are identified: some branches remain the same (or change minimally), other branches are largely different; (3) Hierarchical Task Analyses are applied to specifically identify the potential communication error modes relevant for the design phase, and to identify whether communication errors may lead to critical situations. The fault trees are validated with the results so far; (4) in the operational phase human handling is further analysed with the quantitative human error technique HEART, in order to identify erosion of work (and communication) procedures. Observations during operations are used to identify differences in types of human error with time when the application of the safety device becomes more mature; and (5) a comparative risk assessments results from the above steps in the analysis.
机译:铁路是复杂的系统,目前在确定系统变更和新安全装置的风险方面投入了更多的精力。特别是,当风险评估在很大程度上取决于人员的处理以及轨道工人与火车交通控制之间的沟通时,需要进行更详细的分析。将针对铁轨停运的情况说明此处介绍的风险比较方法。所采用的方法采用以下技术:(1)使用(或开发)故障树来提供对技术和人为故障模式的深入分析。通信错误是故障树基本事件的一部分; (2)对于新的和现有的安全装置,故障树分支中的相互差异都得到了识别:一些分支保持相同(或变化很小),其他分支则大不相同; (3)应用层次任务分析来专门识别与设计阶段相关的潜在通信错误模式,并确定通信错误是否可能导致紧急情况。到目前为止,故障树已通过结果验证。 (4)在操作阶段,使用定量人为错误技术HEART进一步分析人为处理,以识别工作(和通信)程序的侵蚀。当安全设备的应用变得更加成熟时,在操作过程中的观察将被用来识别人为错误类型随时间的差异。 (5)分析中上述步骤得出的比较风险评估结果。

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