Presentation Information

[3F07]Development of Probabilistic Risk Assessment Methodology Using Artificial(4) Functional Enhancement of Automatic Tools of Fault Tree Creation Focusing on

*Yuki KONDO1, Satoshi FUTAGAMI1, Kenichi KURISAKA1, Hidemasa YAMANO1 (1. Japan Atomic Energy Agency)

Keywords:

artificial intelligence,AI,probabilistic risk assessment,PRA

To develop an innovative methodology for efficient and effective social implementation of nuclear power plant PRA, the authors have been developing the automatic AI tools to create fault tree (FT) in "system reliability analysis" of internal event PRA. The automatic AI tools can extract the FT information from the design documents such as paper source-based piping & instrumentation diagram, single-line diagram, etc. The AI tools has been prototyped step by step. Extraction function was extended from the front-line system to support-system. And detail of FT was elaborated from component level to failure mode level. In this meeting, updates of automatic AI tools for FT creation focusing on support-systems is reported.

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