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

• Autorzy: Frid W. , Knochenhauer M. , Bednarski M.
• Języki publikacji: EN

Abstrakty

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.

Słowa kluczowe

EN

nuclear reactors; source term; Baayesian belief network; severe accidents; probabilistic safety assessment

PL

reaktor jądrowy; sieci bayesowskie

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2005
• Tom: Vol. 12, No. 2-3
• Strony: 133--145
• Opis fizyczny: Bibliogr. 5 poz., rys., tab.

Twórcy

autor

Frid W.

• Royal Institute of Technology, Department of Energy Technology, Brinellvägen 60, SE-100, 44 Stockholm, Sweden

autor

Knochenhauer M.

• Relcon AB, Box 1288, SE-172 25 Sundbyberg, Sweden

autor

Bednarski M.

• Royal Institute of Technology, Department of Energy Technology, Brinellvägen 60, SE-100, 44 Stockholm, Sweden
• Silesian University of Technology, Department of Fundamentals of Machine Design, ul. Konarskiego 18A, 44-100 Gliwice, Poland

Bibliografia

• [1] E. Grindon, M. L. Ang, M. Kulig, M. Slootman, H. Löffler, G. Horvath, A. Bujan, W. Prid, W. Cholewa and M. Khatib-Rahbar. A rapid response source term indicator based on plant status for use in emergency response (STERPS). Proceedings of PISA 2003, November 2003, Luxemburg.
• [2] Norsys, NETICA Application for Belief Networks and Influence Diagrams - User's Guide, Norsys Software Corp. 1997.
• [3] M. Johansson. Input data for the project STERPS. OKG report 2002-02102, February 2002.
• [4] H. Dubik et al. Containment protection during severe accidents. Proceeding of SMIRT 16, Washington DC, August 2001.
• [5] B. Berger. Oskarshamn Unit 3 - Source term analysis. OKG report 97-05336, 1998.