Development of a Bayesian belief network for a boiling water reactor during fault conditions
2005 (English)In: Computer Assisted Mechanics and Engineering Sciences, ISSN 1232-308X, Vol. 12, no 2-3, 133-145 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2005. Vol. 12, no 2-3, 133-145 p.
Bayesian belief network, Nuclear reactors, Probabilistic safety assessment, Severe accidents, Source term, Boiling water reactors, Fault tolerant computer systems, Nuclear power plants, Probabilistic logics, Radioactive elements, Bayesian belief networks, Probabilistic safety assessments, Neural networks
IdentifiersURN: urn:nbn:se:kth:diva-156486ScopusID: 2-s2.0-29744462379OAI: oai:DiVA.org:kth-156486DiVA: diva2:768282
QC 201412032014-12-032014-11-282015-10-16Bibliographically approved