@article{CAMES, author = {Wiktor Frid and Michael Knochenhauer and Marcin Bednarski}, title = { Development of a Bayesian belief network for a boiling water reactor during fault conditions}, journal = {Computer Assisted Methods in Engineering and Science}, volume = {12}, number = {2-3}, year = {2022}, keywords = {}, abstract = {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.}, issn = {2956-5839}, pages = {133--145}, url = {https://cames.ippt.gov.pl/index.php/cames/article/view/983} }