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Reliability Analysis of CVCS with Extended GO-FLOW Methodology by Considering Automatic Control Functions

机译:考虑自动控制功能的扩展GO-FLOW方法论的CVCS可靠性分析

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Automatic Control System (ACS) has been more widely applied in nuclear power plants (NPP) in order to achieve better performance, convenience and economics. Some new challenges are also emerging in reliability analysis of ACS because of its complexity and strict regulatory requirements of NPP. The dynamic behavior of ACS is difficult to be expressed by traditional system reliability analysis techniques such as fault tree analysis and/or event tree which are widely applied for probabilistic safety assessment in NPPs. This paper presents an extended GO-FLOW methodology by introducing several supplementary operators for modelling control logic generally used in NPP systems. A Chemical and Volume Control System (CVCS) in Pressurized Water Reactor (PWR) NPP is taken as an example to demonstrate the usage of improved GO-FLOW methodology in modeling and reliability estimation of a process system coupled with automatic control functions.
机译:自动控制系统(ACS)已在核电站(NPP)中得到更广泛的应用,以实现更好的性能,便利性和经济性。由于ACS的复杂性和NPP的严格监管要求,在ACS的可靠性分析中也出现了一些新的挑战。 ACS的动态行为很难用传统的系统可靠性分析技术来表达,例如故障树分析和/或事件树,这些技术已广泛应用于NPP中的概率安全评估。本文通过介绍几种补充运算符,为NPP系统中通常使用的控制逻辑建模,提出了一种扩展的GO-FLOW方法。以压水堆(PWR)NPP中的化学和体积控制系统(CVCS)为例,演示了改进的GO-FLOW方法在结合自动控制功能的过程系统的建模和可靠性评估中的用法。

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