Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout

Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout

A deep-learning model was proposed for predicting the remaining time to automatic scram during abnormal conditions of nuclear power plants (NPPs) based on long short-term memory (LSTM) and dropout. The proposed model was trained by simulated condition data of abnormal conditions; the input of the mo...

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Bibliographic Details
Main Authors:	Hanying Chen, Puzhen Gao, Sichao Tan, Hongsheng Yuan, Mingxiang Guan
Format:	Article
Language:	English
Published:	Wiley 2023-01-01
Series:	Science and Technology of Nuclear Installations
Online Access:	http://dx.doi.org/10.1155/2023/2267376
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