Discrete-Time Bayesian Networks Applied to Flexible Coping Strategies of Nuclear Power Plant Systems-Reference-Cited by-同舟云学术

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Discrete-Time Bayesian Networks Applied to Flexible Coping Strategies of Nuclear Power Plant Systems

Published:2023-01-19 Issue:11 Volume:197 Page:2800-2817
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Sahin Elvan¹,Leite Victor C.²,Kim Kyung M.¹,Burns Nick¹,Pacheco Duarte Juliana³^ORCID

Affiliation:

1. Virginia Polytechnic Institute and State University, Mechanical Engineering Department, Blacksburg, Virginia

2. Pennsylvania State University, Nuclear Engineering Department, State College, Pennsylvania

3. University of Wisconsin-Madison, Engineering Physics Department, Madison, Wisconsin

Funder

Ministry of National Education of the Turkish Government

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2022.2151300

Reference23 articles.

1. “Diverse and Flexible Coping Strategies (FLEX) Implementation Guide ” Nuclear Energy Institute (2012).

2. Improving nuclear power plant safety through independent water storage systems

3. Dynamic fault-tree models for fault-tolerant computer systems

4. Risk-based design of process systems using discrete-time Bayesian networks

5. Improved reliability modeling using Bayesian networks and dynamic discretization

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1. Reliability analysis of discrete-time multi-state star configuration power grid systems with performance sharing;2024-04-01

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