Dynamic reliability analysis framework using fault tree and dynamic Bayesian network: A case study of NPP

被引：20
|
作者：
Mamdikar, Mohan Rao [1 ]
Kumar, Vinay [1 ]
Singh, Pooja [2 ]
机构：
[1] Natl Inst Technol Jamshedpur, Dept Comp Sci & Engn, Jamshedpur, Bihar, India
[2] Veermata Jijabai Technol Inst, Dept Appl Math, Mumbai, Maharashtra, India
来源：
NUCLEAR ENGINEERING AND TECHNOLOGY | 2022年 / 54卷 / 04期
关键词：
Fault tree; Dynamic bayesian network; Nuclear power plant; SAFETY ANALYSIS; SYSTEMS; AVAILABILITY;
D O I：
10.1016/j.net.2021.09.038
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
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. (c) 2021 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码：1213 / 1220
页数：8
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