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The POS Model For Common Cause Failure Quantification:Progress In Parameter Estimation And Comprehensive Documentation

机译:共因故障量化的POS模型:参数估计和综合文档的进展

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The basic idea in the POS modelling approach is to assume some kind of CCF impact which, ata given point in time, affects all or a specified subset of the components belonging to the same commoncause component group (CCCG). As a consequence, the components affected by the CCF impact areassumed either to fail instantly – this is frequently termed a 'shock' – or else delayed. The followingsequence of stochastic variables is supposed to adequately describe the CCF process: time of CCF impact,simulated with a constant CCF impact rate, number of components within the component group of size raffected by the impact, times of failure of the impacted components, either immediately or delayed,controlled by model parameter Winst , the fraction of immediate failures, time of detection of the CCFprocess by inspection or functional testing. A number of different applications has been carried out withthe POS model to assess its possibilities and compare the POS results to those obtained with establishedmodels. The amount of different applications has advocated to document the model development statusreached including a detailed description of the model as well as of the approach to parameter estimation.This paper comprises an outline of this comprehensive report and highlights in addition a parameterestimation illustrated by an application to plate valves. The results are compared to data provided inGerman regulatory documents on this type of components.
机译:POS建模方法的基本思想是假设某种CCF影响,该影响在给定的时间点会影响属于同一共同原因组件组(CCCG)的组件的所有或指定子集。结果,受CCF影响区域影响的组件要么立即失效(通常被称为“冲击”),要么被延迟。以下随机变量序列可以充分描述CCF过程:CCF影响时间,以恒定CCF影响速率模拟,受影响影响的组件组中组件的数量,受影响组件的失效时间,或者立即或延迟,由模型参数Winst控制,立即失败的比例,通过检查或功能测试检测CCF进程的时间。 POS模型已经进行了许多不同的应用,以评估其可能性并将POS结果与通过已建立的模型获得的结果进行比较。大量不同的应用程序主张记录模型开发的状态,包括模型的详细描述以及参数估计的方法。本文包括此综合报告的概述,并着重强调了应用程序说明的参数估计。板阀。将结果与德国监管文件中提供的有关此类组件的数据进行比较。

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