Application of reinforcement learning to deduce nuclear power plant severe accident scenario

Author:

Song Seok Ho,Lee Yeonha,Bae Jun Yong,Song Kyu Sang,Seo Mi Ro,Kim SungJoongORCID,Lee Jeong Ik

Funder

Korea Hydro and Nuclear Power Co Ltd

Publisher

Elsevier BV

Reference41 articles.

1. A survey of dynamic methodologies for probabilistic safety assessment of nuclear power plants;Aldemir;Ann. Nucl. Energy,2013

2. Raven as a tool for dynamic probabilistic risk assessment: Software overview;Alfonsi,2013

3. Risk analysis virtual environment for dynamic event tree-based analyses;Alfonsi;Ann. Nucl. Energy,2022

4. Development of a dynamic event tree (DET) to analyze SBO accident in VVER-1000/V446 nuclear reactor;Amirsoltani;Ann. Nucl. Energy,2022

5. A decision-support approach to severe accident management in nuclear power plants;Bohanec;J. Decis. Syst.,2020

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