From Reliability Block Diagrams to Fault Tree Circuits

References

• Almond RG. An extended example for testing graphical-belief. (1992) . Technical Report 6, Statistical Sciences, SeattleGoogle Scholar
• Barlow RE, Clarotti CA, Lindley DV. Using influence diagrams. Accelerated Life Testing and Experts' Opinions in Reliability (1988) (Elsevier Science, New York) 145–157Google Scholar
• Bhattacharjya D, Shachter RD, Parr R, van der Gaag L. Evaluating influence diagrams with decision circuits. Proc. Twenty-Third Conf. Uncertainty in Artificial Intelligence (2007) (AUAI Press, Corvallis, OR) 9–16Google Scholar
• Bhattacharjya D, Shachter RD, McAllester D, Myullymki P. Sensitivity analysis in decision circuits. Proc. Twenty-Fourth Conf. Uncertainty in Artificial Intelligence (2008) (AUAI Press, Corvallis, OR) 34–42Google Scholar
• Bhattacharjya D, Shachter RD. Formulating asymmetric decision problems as decision circuits. Decision Anal. (2012) 9(2):138–145Link, Google Scholar
• Bobbio A, Portinale L, Minichino M, Ciancamerla E. Improving the analysis of dependable systems by mapping fault tress into Bayesian networks. Reliability Engrg. System Safety (2001) 71(3):249–260Crossref, Google Scholar
• Chan H, Darwiche A. When do numbers really matter? J. Artificial Intelligence Res. (2002) 17:265–287Crossref, Google Scholar
• Chan H, Darwiche A, Chickering M, Halpern J. Sensitivity analysis in Bayesian networks: From single to multiple parameters. Proc. Twentieth Conf. Uncertainty in Artificial Intelligence (2004) (AUAI Press, Corvallis, OR) 67–75Google Scholar
• Darwiche A, Boutilier C, Goldszmidt M. A differential approach to inference in Bayesian networks. Proc. Sixteenth Conf. Uncertainty in Artificial Intelligence (2000) (Morgan Kaufmann, San Francisco) 123–132Google Scholar
• Darwiche A. A differential approach to inference in Bayesian networks. J. ACM (2003) 50(3):280–305Crossref, Google Scholar
• Henley E, Kumamoto H. Reliability Engineering and Risk Assessment (1981) (Prentice Hall, Upper Saddle River, NJ) Google Scholar
• Howard R, Matheson J, Howard R, Matheson J. Influence diagrams. The Principles and Applications of Decision Analysis (1984) II(Strategic Decisions Group, Menlo Park, CA) 721–762Google Scholar
• Kuo W, Prasad V. An annotated overview of system-reliability optimization. IEEE Trans. Reliability (2000) 49(2):176–187Crossref, Google Scholar
• Kuo W, Wan R. Recent advances in optimal reliability allocation. IEEE Trans. Systems, Man Cybernetics A (2007) 37(2):143–156Crossref, Google Scholar
• Langseth H, Portinale L. Bayesian networks in reliability. Reliability Engrg. System Safety (2007) 92(1):92–108Crossref, Google Scholar
• Paté-Cornell ME. Fault trees vs. event trees in reliability analysis. Risk Anal. (1984) 4(3):177–186Crossref, Google Scholar
• Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988) (Morgan Kaufmann, San Francisco) Google Scholar
• Ramamoorthy C, Ho G, Han Y. Fault tree analysis of computer systems. Proc. Amer. Federation of Inform. Processing Societies (AFIPS), Natl. Comput. Conf. (1977) (ACM, New York) 13–17Crossref, Google Scholar
• Shachter RD, Bertrand LJ, Lemmer J, Levitt T, Kanal L. Efficient inference on generalized fault diagrams. Proc. Third Conf. Uncertainty in Artificial Intelligence (1987) (Elsevier Science, New York) 413–420Google Scholar
• Tchangani A. Reliability analysis using Bayesian networks. Stud. Inform. Control (2001) 10(3):181–188Google Scholar
• Trivedi KS. Probability and Statistics with Reliability, Queuing and Computer Science Applications (2001) (John Wiley & Sons, New York) Google Scholar