Nuclear Engineering and Technology

  • 제54권4호
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  • Pages.1213-1220
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  • 2022
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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Dynamic reliability analysis framework using fault tree and dynamic Bayesian network: A case study of NPP

  • Mamdikar, Mohan Rao (Department of Computer Science and Engineering, National Institute of Technology Jamshedpur) ;
  • Kumar, Vinay (Department of Computer Science and Engineering, National Institute of Technology Jamshedpur) ;
  • Singh, Pooja (Department of Applied Mathematics, Veermata Jijabai Technological Institute)
  • 투고 : 2021.08.16
  • 심사 : 2021.09.29
  • 발행 : 2022.04.25
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초록

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.

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참고문헌

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