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Computing System Reliability Given Interval-Valued Characteristics of the Components

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Reliable Computing

Abstract

The current paper is concluding in the series of studies devoted to generalising reliability models of non-repairable systems to imprecise previsions. It describes a generic algorithm to find an interval-valued reliability assessment of a system given imprecise reliability information concerning the components. As the tool for obtaining reliability characteristics of interest is a proper posed optimisation problem, the algorithm suggests solving it in a practically affordable way by breaking down the general problem into problems that are much easier to solve. This is made at the cost of finding only approximate solutions and a lesser precision in the previsions of interest. It is also shown that for some particular cases the genuine, exact, solutions can be found through the algorithm developed. The second part of the paper gives an overview of formulas for interval-valued reliability calculations of non-repairable systems inferred by the authors and scattered in different sources. A few examples demonstrate the use of the formulas and the algorithm developed.

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References

  1. Barlow, R. E. and Proschan, F.: Statistical Theory of Reliability and Life Testing: Probability Models, Holt, Rinehart and Winston, New York, 1975.

    Google Scholar 

  2. Coolen, F.: An Imprecise Dirichlet Model for Bayesian Analysis of Failure Data Including Right-Censored Observations, Reliability Engineering and System Safety 56 (1997), pp. 61–68.

    Google Scholar 

  3. Coolen, F. and Newby, M.: Bayesian Reliability Analysis with Imprecise Prior Probabilities, Reliability Engineering and System Safety 47 (1994), pp. 75–85.

    Google Scholar 

  4. de Finetti, B.: Theory of Probability, volume 1, Wiley, London, 1974. English Translation of Teoria delle Probabilitè.

    Google Scholar 

  5. Gurov, S. V. and Utkin, L. V.: Reliability of Systems under Incomplete Information, Lubavich Publ., Saint Petersburg, 1999 (in Russian).

    Google Scholar 

  6. Kozine, I.: Imprecise Probabilities Relating to Prior Reliability Assessments, in: Moral, S., de Cooman, G., Cozman, F. G., and Walley, P. (eds), ISIPTA ‘99—Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, Zwijnaarde, Belgium, 1999, pp. 241–248.

    Google Scholar 

  7. Kozine, I. and Filimonov, Y.: Imprecise Reliabilities: Experiences and Advances, Reliability Engineering and System Safety 67 (2000), pp. 75–83.

    Google Scholar 

  8. Kozine, I. and Utkin, L. V.: Constructing Coherent Interval Statistical Models from Unreliable Judgements, in: Proceedings of the Conference ESREL’2001 “Safety and Reliability,” Torino, Italy, September 16–20, 2001, pp. 173–180.

  9. Kozine, I. and Utkin, L. V.: Generalizing Markov Chains to Imprecise Previsions, in: Proceedings of the 5th International Conference on Probabilistic Safety Assessment and Management, November 27–December 1, 2000, Osaka, Japan, Universal Academy Press, Tokyo, pp. 383–388.

  10. Kozine, I, and Utkin, L. V.: Processing Unreliable Judgements with an Imprecise Hierarchical Model, Risk Decision and Policy 7 (2002), pp. 325–339.

    Google Scholar 

  11. Kuznetsov, V. P.: Interval Statistical Models, Radio and Communication, Moscow, 1991 (in Russian).

  12. Rao, S. S.: Reliability-Based Design, McGraw-Hill, New York, 1992.

    Google Scholar 

  13. Utkin, L. V.: General Reliability Theory on the Basis of Upper and Lower Previsions, in: Ruan, D., Ait Abderrahim, H., D’hondt, P., and Kerre, E. E. (eds), Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry. Proceedings of the 3rd International FLINS Workshop, Antwerp, Belgium, 1998, pp. 36–43.

  14. Utkin, L. V. and Kozine, I.: Computing the Reliability of Complex Systems, in: ISIPTA’01—Proceedings of the Second International Symposium on Imprecise Probabilities and Their Appli-cations, 26–29 June 2001, Cornell University, pp. 324–331.

  15. Utkin, L. V. and Kozine, I.: Different Faces of the Natural Extension, in: ISIPTA’01—Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, 26–29 June 2001, Cornell University, pp. 316–323.

  16. Utkin, L. V. and Gurov, S. V.: Imprecise Reliability of General Structures, Knowledge and Information Systems 1 (4) (1999), pp. 459–480.

    Google Scholar 

  17. Utkin, L. V. and Gurov, S. V.: New Reliability Models on the Basis of the Theory of Imprecise Probabilities, in: IIZUKA’98—The 5th International Conference on Soft Computing and Information/Intelligent Systems, volume 2, Iizuka, Japan, 1998, pp. 656–659.

  18. Walley, P.: Statistical Reasoning with Imprecise Probabilities, Chapman and Hall, London, 1991.

    Google Scholar 

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Correspondence to Lev V. Utkin.

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Utkin, L.V., Kozine, I.O. Computing System Reliability Given Interval-Valued Characteristics of the Components. Reliable Comput 11, 19–34 (2005). https://doi.org/10.1007/s11155-005-5940-x

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  • DOI: https://doi.org/10.1007/s11155-005-5940-x

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