Prediction of golden time for recovering SISs using deep fuzzy neural networks with rule-dropout

Prediction of golden time for recovering SISs using deep fuzzy neural networks with rule-dropout

If safety injection systems (SISs) do not work in the event of a loss-of-coolant accident (LOCA), the accident can progress to a severe accident in which the reactor core is exposed and the reactor vessel fails. Therefore, it is considered that a technology that provides recoverable maximum time for...

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Bibliographic Details
Main Authors: Hye Seon Jo, Young Do Koo, Ji Hun Park, Sang Won Oh, Chang-Hwoi Kim, Man Gyun Na
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Nuclear Engineering and Technology
Subjects:
Golden time
Safety injection system (SIS)
Reactor core uncovery
Reactor vessel (RV) failure
Deep fuzzy neural network (DFNN)
Rule-dropout
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573321003387

Internet

http://www.sciencedirect.com/science/article/pii/S1738573321003387

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