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

Frid W., Knochenhauer M., Bednarski M.

Computer Assisted Mechanics and Engineering Sciences

2005

Vol. 12, No. 2-3

133-145

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.