Bc. Rastislav Kruták

Master's thesis

Application of machine learning methods for classification of abnormal events in nuclear power plants

Application of machine learning methods for classification of abnormal events in nuclear power plants
Abstract:
Použitie výpočtových nástrojov na podporu operátorov v jadrových elektrárňach predstavuje aktívnu oblasť výskumu, v ktorej sa čoraz väčšia pozornosť venuje metódam strojového učenia. Táto diplomová práca sa zameriava na úlohu klasifikácie abnormálnych stavov v jadrovej elektrárni Dukovany. Analyzuje existujúce prístupy a poukazuje na ich obmedzenia. Na základe týchto zistení boli vykonané experimenty …more
Abstract:
The application of computational tools to support operators in nuclear power plants is an active area of research, with a growing emphasis on machine learning methods. This thesis investigates the task of classify- ing abnormal states for the Dukovany nuclear power plant. It reviews existing approaches and highlights their limitations. Based on these findings, experiments are conducted on simulator …more
 

Keywords

abnormal state classification nuclear power plant time series classification deep learning machine learning simulator xai
 
Language used: English
Date on which the thesis was submitted / produced: 21. 5. 2025
Identifier: https://is.muni.cz/th/yzm1w/

Thesis defence

  • Date of defence: 18. 6. 2025
  • Supervisor: RNDr. Jaroslav Čechák, Ph.D.
  • Reader: doc. Mgr. Bc. Vít Nováček, PhD

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