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Foundations of the UPM common cause method

机译:UPM常见原因方法的基础

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Common cause failures (CCF) have a significant impact on the risk of complex engineering systems, such as nuclear plants. Consequently, modelling this class of events is an important part of risk assessments, and the authorities that are responsible for the safe and efficient functioning of the aforementioned systems have taken this issue on hoard. The current approach in the UK towards CCF modelling is the Unified Partial Method (UPM), which is based on the Partial Beta Factor Model and the Cut-Off Methodology. The UPM scoring system itself is based on an additive weighting factors approach. This is closely allied to the additive value function approach of Multialtribute Value Theory. However, within MAVT there are many other possible models. We explore whether the preferential independence axiom, required for an additive value function, is conceptually appropriate. In addition we discuss the impact of new data availability, in particular from the ICDE project. The research discussed here is part of an on-going research project, funded by the Health and Safety Executive.
机译:共因故障(CCF)对复杂工程系统(例如核电厂)的风险具有重大影响。因此,对此类事件进行建模是风险评估的重要组成部分,而负责上述系统的安全有效运行的主管部门已将此问题视为ho积。英国目前用于CCF建模的方法是统一部分方法(UPM),该方法基于部分Beta因子模型和截断方法。 UPM评分系统本身基于加性加权因子方法。这与多元价值理论的附加价值函数方法紧密相关。但是,在MAVT中,还有许多其他可能的模型。我们探讨了附加价值函数所需的优先独立公理在概念上是否合适。此外,我们还将讨论新数据可用性的影响,特别是来自ICDE项目的影响。此处讨论的研究是由健康与安全执行官资助的正在进行的研究项目的一部分。

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