Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short...
Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout
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Publisher
New York: Hindawi
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English
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New York: Hindawi
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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 model was the deviation of the monitoring parameters...
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Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout
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TN_cdi_doaj_primary_oai_doaj_org_article_93e3cbf828c44387b18136e93f824fd8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93e3cbf828c44387b18136e93f824fd8
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ISSN
1687-6075
E-ISSN
1687-6083
DOI
10.1155/2023/2267376
