Publication:
Application of Machine Learning for Solving Problems of Nuclear Power Plant Operation

Дата
2022
Авторы
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Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт ядерной физики и технологий
Цель ИЯФиТ и стратегия развития - создание и развитие научно-образовательного центра мирового уровня в области ядерной физики и технологий, радиационного материаловедения, физики элементарных частиц, астрофизики и космофизики.
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Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Nowadays, the industry is actively introducing technologies based on machine learning: predictive analytics, computer vision, industrial robots, etc. In this article authors discuss the possible application of machine learning to improve the operation of nuclear power plant (NPP) power units: diagnostics of the state of equipment (both technological equipment of normal operation systems and equipment of safety systems); definition of irrelevant alarm; determination of the state of the reactor plant; application of machine learning in equipment control algorithms. The report also examines the existing difficulties in introducing machine learning into NPP operation: issues of stability of control systems based on machine learning; the issue of interpretability of solutions issued by systems based on machine learning; small data set size for training machine learning models.
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Цитирование
Volodin, V. S. Application of Machine Learning for Solving Problems of Nuclear Power Plant Operation / Volodin, V.S., Tolokonskij, A.O. // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 585-589. - 10.1007/978-3-030-96993-6_65
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