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RELIABILITY ANALYSIS OF DIGITAL SYSTEMS IN A PROBABILISTIC RISK ANALYSIS FOR NUCLEAR POWER PLANTS

机译:核电厂概率风险分析中数字系统的可靠性分析

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摘要

To assess the risk of nuclear power plant operation and to determine the risk impact of digital systems, there is a need to quantitatively assess the reliability of the digital systems in a justifiable manner. The Probabilistic Risk Analysis (PRA) is a tool which can reveal shortcomings of the NPP design in general and PRA analysts have not had sufficient guiding principles in modelling particular digital components malfunctions. Currently digital I&C systems are mostly analyzed simply and conventionally in PRA, based on failure mode and effects analysis and fault tree modelling. More dynamic approaches are still in the trial stage and can be difficult to apply in full scale PRA-models. As basic events CPU failures, application software failures and common cause failures (CCF) between identical components are modelled.The primary goal is to model dependencies. However, it is not clear which failure modes or system parts CCF:s should be postulated for. A clear distinction can be made between the treatment of protection and control systems. There is a general consensus that protection systems shall be included in PRA, while control systems can be treated in a limited manner. OECD/NEA CSNI Working Group on Risk Assessment (WGRisk) has set up a task group, called DIGREL, to develop taxonomy of failure modes of digital components for the purposes of PRA. The taxonomy is aimed to be the basis of future modelling and quantification efforts. It will also help to define a structure for data collection and to review PRA studies.
机译:为了评估核电厂运行的风险并确定数字系统的风险影响,需要以合理的方式定量评估数字系统的可靠性。概率风险分析(PRA)是一种工具,可以揭示一般情况下NPP设计的缺点,并且PRA分析人员在建模特定数字组件故障时没有足够的指导原则。当前,基于故障模式和影响分析以及故障树建模,在PRA中通常对数字I&C系统进行简单且常规的分析。更具动态性的方法仍处于试验阶段,可能难以在完整的PRA模型中应用。作为基本事件,CPU故障,应用程序软件故障和相同组件之间的通用原因故障(CCF)被建模。主要目标是建模依赖关系。但是,尚不清楚应该假定使用哪种故障模式或系统部件CCF :。在保护和控制系统的处理之间可以有明显的区别。人们普遍认为,保护系统应包括在PRA中,而控制系统只能以有限的方式处理。 OECD / NEA CSNI风险评估工作组(WGRisk)成立了一个名为DIGREL的任务组,以针对PRA的目的开发数字组件故障模式的分类法。该分类法旨在成为未来建模和量化工作的基础。它还将有助于定义数据收集结构并审查PRA研究。

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