Limiting conditions prediction using machine learning for loss of condenser vacuum event

Limiting conditions prediction using machine learning for loss of condenser vacuum event

We implement machine learning regression models to predict peak pressures of primary and secondary systems, a major safety concern in Loss Of Condenser Vacuum (LOCV) accident. We selected the Multi-dimensional Analysis of Reactor Safety-KINS standard (MARS-KS) code to analyze the LOCV accident, and...

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Bibliographic Details
Main Authors: Dong-Hun Shin, Moon-Ghu Park, Hae-Yong Jeong, Jae-Yong Lee, Jung-Uk Sohn, Do-Yeon Kim
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Nuclear Engineering and Technology
Subjects:
Machine learning
Safety analysis
MARS-KS
XGBoost
LOCV
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573323004023

Internet

http://www.sciencedirect.com/science/article/pii/S1738573323004023

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