Publication: Application of Machine Learning for Solving Problems of Nuclear Power Plant Operation
Дата
2022
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© 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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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
URI
https://www.doi.org/10.1007/978-3-030-96993-6_65
https://www.scopus.com/record/display.uri?eid=2-s2.0-85127643273&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200065
https://openrepository.mephi.ru/handle/123456789/28959
https://www.scopus.com/record/display.uri?eid=2-s2.0-85127643273&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200065
https://openrepository.mephi.ru/handle/123456789/28959