Порівняння двох програм керування ядерним енергоблоком ВВЕР1000 з використанням регресійних даних моделей інтелектуального аналізу даних
A load-following mode of nuclear power plants (NPP) is a complicated procedure, since there are significant changes in many interrelated processes. In order to show which control program (CP) of NPP is better to use, data mining (DM) techniques can be introduced. This study proposes a DM approach in...
Збережено в:
| Дата: | 2017 |
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| Автори: | , , , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
State Scientific and Technical Center for Nuclear and Radiation Safety
2017
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| Онлайн доступ: | https://nuclear-journal.com/index.php/journal/article/view/62 |
| Теги: |
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| Назва журналу: | Nuclear and Radiation Safety |
Репозитарії
Nuclear and Radiation Safety| Резюме: | A load-following mode of nuclear power plants (NPP) is a complicated procedure, since there are significant changes in many interrelated processes. In order to show which control program (CP) of NPP is better to use, data mining (DM) techniques can be introduced. This study proposes a DM approach in order to show a possibility of using DM regression models for NPP. The datasets for DM were obtained by simulating two static CP of VVER-1000 NPP in Simulink software of Matlab program package. |
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