[1D01-07] PRA Method 1

[1D02] Development of Probabilistic Risk Assessment Methodology Using Artificial Intelligence Technology

(3) Application of Automatic Failure Detection Methodology to Preliminary Analysis for Reliability Database Construction

*Hiroshi UJITA¹, Tatsuya Morimoto¹, Satoshi FUTAGAMI², Hidemasa YAMANO², Kenichi KURISAKA² (1. AdvanceSoft Corporation, 2. Japan Atomic Energy Agency)

Keywords:Artificial Intelligence, Probabilistic Risk Assessment, Reliability Database

The methodology for AI tool have been developed and prototyped, to extract necessary information from databases such as NUCIA for the PRA reliability database, including information on failed equipment, failure classifications and modes, causes, etc. The tool aims to facilitate the speed and automation of big data processing, promote accuracy and consistency among analysts, and streamline the homogenization of results.