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Development of a Bayesian belief network for a boiling water reactor during fault conditions
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
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
Abstract [en]

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.
Keyword [en]
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
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-156486Scopus ID: 2-s2.0-29744462379OAI: oai:DiVA.org:kth-156486DiVA: diva2:768282
Note

QC 20141203

Available from: 2014-12-03 Created: 2014-11-28 Last updated: 2015-10-16Bibliographically approved

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