Dynamic Methodologies of Digital Instrumentation and Control Systems for Probabilistic Risk Assessments in Nuclear Power Plant
Transitions from analog to digital technology are emerging in Nuclear Power Plant now, and digital instrumentation and control systems are the only choice for the newly being built Plants. The digital systems have the potential to improve the plant safety and reliability through features such as increased hardware reliability and stability, and improved failure detection capability. While the static event-tree/fault-tree approach has been used in the reliability modeling of the digital I&C systems in nuclear power plants, numerous concerns have been raised in the capability of the traditional event-tree/fault-tree promptly account for the coupling between the triggered or events, and the dynamic interactions between the components or systems. The lack of treatment of the dynamic interactions means that potentially significant dependency may not be considered. Dynamic methodologies are considered as the most possible approach to solve the dynamic interactions. Reviews on the dynamic methodologies in the digital systems for PRA in NPP are presented in this paper, and then Markov/CCMT approach which was presented in NUREG-CR6942 is verified for reliability modeling of a digital Benchmark system.
Markov Digital Instrumentation and Control System Probabilistic Risk Assessment Dynamic Methodologies CCMT
Pengfei Liu Akira Yamaguchi Takashi Takata
School of Nuclear Science and Engineering, Shanghai Jiao Tong University 800 Dongchuan Road, Shangha Department of Energy and Environment Engineering, OSAKA University 2-1,Yamada-Oka,Suita ,Osaka,565-0
国际会议
上海
英文
1055-1075
2010-10-10（万方平台首次上网日期，不代表论文的发表时间）