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Dynamic reliability analysis framework using fault tree and dynamic Bayesian network: A case study of NPP
Nuclear Engineering and Technology ( IF 2.7 ) Pub Date : 2021-10-01 , DOI: 10.1016/j.net.2021.09.038
Mohan Rao Mamdikar 1 , Vinay Kumar 1 , Pooja Singh 2
Affiliation  

The Emergency Diesel Generator (EDG) is a critical and essential part of the Nuclear Power Plant (NPP). Due to past catastrophic disasters, critical systems of NPP like EDG are designed to meet high dependability requirements. Therefore, we propose a framework for the dynamic reliability assessment using the Fault Tree and the Dynamic Bayesian Network. In this framework, the information of the component's failure probability is updated based on observed data. The framework is powerful to perform qualitative as well as quantitative analysis of the system. The validity of the framework is done by applying it on several NPP systems.



中文翻译:

使用故障树和动态贝叶斯网络的动态可靠性分析框架:以 NPP 为例

应急柴油发电机 (EDG) 是核电厂 (NPP) 的重要组成部分。由于过去的灾难性灾难,像 EDG 这样的 NPP 关键系统旨在满足高可靠性要求。因此,我们提出了一个使用故障树和动态贝叶斯网络进行动态可靠性评估的框架。在这个框架中,组件的失效概率信息是根据观察到的数据更新的。该框架功能强大,可以对系统进行定性和定量分析。该框架的有效性是通过将其应用于多个 NPP 系统来完成的。

更新日期:2021-10-01
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