Development of a Bayesian belief network for a boiling water reactor during fault conditions

  • Wiktor Frid Royal Institute of Technology
  • Michael Knochenhauer Relcon AB
  • Marcin Bednarski Silesian University of Technology


This paper describes briefly the development and verification of a probabilistic system for the rapid diagnosis of plant status and radioactive releases during postulated severe accidents in a Boiling Water Reactor nuclear power plant. The probabilistic approach uses Bayesian belief network methodology, and was developed in the STERPS project in the European Union 5-th Euroatom Framework program.


nuclear reactors, source term, Bayesian belief network, severe accidents, probabilistic safety Assessment,


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Nov 28, 2022
How to Cite
FRID, Wiktor; KNOCHENHAUER, Michael; BEDNARSKI, Marcin. Development of a Bayesian belief network for a boiling water reactor during fault conditions. Computer Assisted Methods in Engineering and Science, [S.l.], v. 12, n. 2-3, p. 133-145, nov. 2022. ISSN 2956-5839. Available at: <>. Date accessed: 23 june 2024.