An Influence Diagram Extension of the Unified Partial Method for Common Cause Failures

References

• Apostolakis, G. and Moieni, P. (1987). The foundations of models of dependence in Probabilistic Safety Assessment. Reliability Engineering, 18, 177–195.
   Google Scholar
• Bedford, T. and Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods, Cambridge University Press.
   Google Scholar
• Berg, H. P., Görtz R., Schimetschka, E. and Kesten, J. (2006). The Process-Oriented Simulation (POS) model for common cause failures: recent progress. Kerntechnik, 71.
   Google Scholar
• Brand, P. V. and Gabbot, D. (1993). Unified Partial Method for Dependent Failures Assessment. AEA Technology, AEA Project Reference Number: GNSR/PSA/6, NSMRU Project Reference Number: PSA/GNSR/11.
   Google Scholar
• Cooke, R. (1991). Experts in Uncertainty: Opinion and Subjective Probability in Science. Oxford University Press.
   Google Scholar
• Edwards, G. T. (1989). Dependent Failure Assessment Principles, Engineering Structure and Data Requirements. Safety and Reliability Directorate, United Kingdom Atomic Energy Authority, SRS/GR/83.
   Google Scholar
• Fleming, K. N. (1975). A reliability model for common mode failure in redundant safety systems. In Proceedings of the Sixth Annual Pittsburgh Conference on Modeling and Simulation, 23–25. General Atomic Report GA-A13284.
   Google Scholar
• Fleming, K. N., Mosleh, A. and Kelley, Jr. A. P. (1983). On the analysis of dependent failures in risk assessment and reliability evaluation. Nuclear Safety, 24 (5), 637–657.
   Google Scholar
• Genest, C. G. and Zidek, J. V. (1986). Combining probability distributions: A critique and an annotated bibliography. Statistical Science, 1(1), 114–135.
   Google Scholar
• HSE. (2005). Reactor Nuclear Research Index 2005. Technical Area: Probabilistic Safety Analysis. Issue: PSA Methods. Issue Number 11.2. Open Technical Areas. Health and Safety Executive.
   Google Scholar
• Humphreys R. A. (1987). Assigning a numerical value to the beta factor common cause failure evaluation. Proceedings of Reliability, Paper 2C/5.
   Google Scholar
• Hauptmanns, U. (1996). The Multi-Class Binomial Failure Rate Model. Reliability Engineering and System Safety, 53, 85–90.
   Google Scholar
• International Common Cause Failure Data Exchange Project (2001). Terms and Conditions for Project Operation.
   Google Scholar
• International Common Cause Failure Data Exchange Project (2003). Coding guidelines ICDECG 2003.
   Google Scholar
• Jensen, F. (1987). An Introduction to Bayesian Networks. UCL Press, London.
   Google Scholar
• Johanson, G., Mankamo, T., and Knochenhauer, M. Summary report of the Nordic Working Group on Common Cause Failure Analysis. Technical Report NAFCS-PR21, Nordisk Arbetsgrupp för CCF studier, October 2003.
   Google Scholar
• Kadane, J. B. and Wolfson, L. J. (1998). Experiences in elicitation. The Statistician, 47(1), 3–19.
   Google Scholar
• Meyer, M. A. and Booker, J. M. (1991). Eliciting and Analysing Expert Judgment: A Practical Guide. American Statistical Association and the Society of Industrial and Applied Mathematics.
   Google Scholar
• Morgan, M. G. and Henrion, M. (1990). Uncertainty: A Guide to dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge University Press.
   Google Scholar
• Mosleh, A., Rasmuson, D. and Marshal, F. (1998). Guidelines on modelling common-cause failures in Probabilistic Risk Assessment. NUREG/CR-5485. INEEL/EXT-97–01327.
   Google Scholar
• Mosleh, A., Parry, G. W. and Zikria, A. F. (1994). An approach to the analysis of common cause failure data for plant-specific application. Nuclear Engineering and Design, 150, 25–47.
   Google Scholar
• Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers Inc. San Mateo, California.
   Google Scholar
• Sigurdsson, J. H., Walls, L. A. and Quigley, J. (2001). Bayesian belief nets for managing expert judgment and modelling reliability. Quality and Reliability Engineering International, 17, 181–190.
   Google Scholar
• Siu, N. and Mosleh, A. (1988). Treating data uncertainties in common-cause failure analysis. Nuclear Technology, 84, 265–281.
   Google Scholar
• Van der Gaag, L. C. (1996). Bayesian Belief Networks: odds and ends. The Computer Journal, 39(2), 97–113.
   Google Scholar
• Zitrou, A. 2002). Common Cause Failure Modelling. MSc Dissertation. University of Strathclyde, Glasgow, UK.
   Google Scholar
• Zitrou, A. and Bedford, T. (2003). Foundations of the UPM common cause method. Proceedings of European Safety and Reliability Conference, 1769–1775. Maastricht, The Netherlands.
   Google Scholar