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

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Authors

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

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.

Keywords:

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

References

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[4] H. Dubik et al. Containment protection during severe accidents. Proceeding of SMIRT 16, Washington DC, August 2001.
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