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Screening, sensitivity, and uncertainty for the CREAM method of Human Reliability Analysis

机译:CREAM人类可靠性分析方法的筛选,敏感性和不确定性

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This paper reports a sensitivity analysis of the Cognitive Reliability and Error Analysis Method for Human Reliability Analysis. We consider three different aspects: the difference between the outputs of the Basic and Extended methods, on the same HRA scenario; the variability in outputs through the choices made for common performance conditions (CPCs); and the variability in outputs through the assignment of choices for cognitive function failures (CFFs). We discuss the problem of interpreting categories when applying the method, compare its quantitative structure to that of first generation methods and discuss also how dependence is modelled with the approach. We show that the control mode intervals used in the Basic method are too narrow to be consistent with the Extended method. This motivates a new screening method that gives improved accuracy with respect to the Basic method, in the sense that (on average) halves the uncertainty associated with the Basic method. We make some observations on the design of a screening method that are generally applicable in Risk Analysis. Finally, we propose a new method of combining CPC weights with nominal probabilities so that the calculated probabilities are always in range (i.e. between 0 and 1), while satisfying sensible properties that are consistent with the overall CREAM method.
机译:本文报告了用于人类可靠性分析的认知可靠性和误差分析方法的敏感性分析。我们考虑了三个不同方面:在相同的HRA场景下,基本方法和扩展方法的输出之间的差异;通过针对共同绩效条件(CPC)做出的选择,输出的可变性;以及通过分配认知功能故障(CFF)的选项来分配输出的可变性。我们讨论了应用该方法时解释类别的问题,将其定量结构与第一代方法的定量结构进行了比较,还讨论了如何使用该方法对依赖性进行建模。我们显示基本方法中使用的控制模式间隔太窄,无法与扩展方法一致。这激发了一种新的筛选方法,相对于基本方法,该方法提高了准确性,在某种意义上(平均)将与基本方法相关的不确定性减半。我们对筛选方法的设计提出了一些意见,这些意见通常适用于风险分析。最后,我们提出了一种将CPC权重与名义概率相结合的新方法,以使计算出的概率始终在范围内(即0到1之间),同时满足与总体CREAM方法一致的合理属性。

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