Published April 2022
| Version v1
Journal article
Dynamic reliability analysis framework using fault tree and dynamic Bayesian network: A case study of NPP
- 1. National Institute of Technology Jamshedpu, Jamshedpur (India)
- 2. Veermata Jijabai Technological Institute, Mumbai (India)
Description
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
Additional details
Publishing Information
- Journal Title
- Nuclear Engineering and Technology
- Journal Volume
- 54
- Journal Issue
- 4
- Series
- 15 refs, 10 figs, 5 tabs
- Journal Page Range
- p. 1213-1220
- ISSN
- 1738-5733
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- Korea, Republic of
- INIS RN
- 53091712
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- ACCIDENTS; BAYESIAN STATISTICS; CHARGES; DESIGN; FAILURES; FAULT TREE ANALYSIS; INFORMATION; NATURAL DISASTERS; NUCLEAR POWER PLANTS; RELIABILITY
- Descriptors DEC
- MATHEMATICS; NUCLEAR FACILITIES; POWER PLANTS; STATISTICS; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS; THERMAL POWER PLANTS