Diagnosis and Prediction for Loss of Coolant Accidents in Nuclear Power Plants Using Deep Learning Methods
A combination of Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM), and Convolutional LSTM (ConvLSTM) is constructed in this work for the fault diagnosis and post-accident prediction for Loss of Coolant Accidents (LOCAs) in Nuclear Power Plants (NPPs). The advantages of ConvLSTM, suc...
| Автори: | , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Frontiers Media S.A.
2021-05-01
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| Серія: | Frontiers in Energy Research |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.665262/full |