Abstract
How to properly assign the reliability to the components is a key process for a system design, especially for a system in nuclear installations with high reliability requirements. Previously the reliability allocation process for such a system with high availability requirements is done based on the failure mode effects and criticality analysis (FMECA) and fault tree analysis (FTA). The results from FMECA are just qualitative. The analysis based on FTA needs to be iterative and probably can only get the sub optimal solution. In this paper, a theoretical model is proposed based on importance measures (IMs) and it is competent to allocate the reliability indices to its different composed components quantitatively. Moreover, the optimal assignment result can be obtained directly without any iterative processes. Thus, the proposed method is theoretically valuable and is also much beneficial to the design of the related complex systems and devices of the nuclear power plants. The control cabinet design, as a typical example, is introduced and the proposed method is demonstrated to be effective.
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References
Vesely, W., Apostolakis, G.: Developments in risk-informed decision-making for nuclear power plants. Reliability Eng. Syst. Saf. 223–224 (1999)
Zio, E., Podofillini, L.: Importance measures and genetic algorithms for designing a risk-informed optimally balanced system. Reliability Eng. Syst. Saf. 92(10), 1435–1447 (2007)
Podofillini, L., Zio, E.: Designing a risk-informed balanced system by genetic algorithms: comparison of different balancing criteria. Reliability Eng. Syst. Saf. 93(12), 1842–1852 (2008)
Vesely, W.: Principles of resource-effectiveness and regulatory effectiveness for risk-informed applications: reducing burdens by improving effectiveness. Reliability Eng. Syst. Saf., 283–292 (1999)
Use of probabilistic risk assessment methods in nuclear activities: final policy statement. Federal Register, US Nuclear Regulatory Commission, (Aug, 1995), vol. 60, pp. 42622
Caruso, M., Cheok, M., Cunningham, M., Holahan, G., King, T., Parry, G., et al.: An approach for using risk assessment in risk informed decisions on plant-specific changes to the licensing basis. Reliability Eng. Syst. Saf., 231–242 (1999)
Cheok, M., Parry, G., Sherry, R.: Use of importance measures in risk informed applications. Reliability Eng. Syst. Saf. 60, 213–226 (1998)
Charles, A., Chu, C.: Reliability allocation through cost minimization. IEEE Trans. Reliability. 52(1), 106–111 (2003)
Kuo, W., Prasad, V.R.: An annotated overview of systems reliability optimization. IEEE Trans. Reliability 49(2), 176–187 (2000)
Lyu, M.R.: Optimal allocation of test resources for software reliability growth modeling in software development. IEEE Trans. on Reliability 51(2), 183–192 (2002)
Yalaoui, A., Chu, C.B., Chatelet, E.: Reliability allocation problem in a series–parallel system. Reliability Eng. Syst. Saf. 90(1), 55–61 (2005)
Van der Borst, M., Schoonaker, H.: An overview of PSA importance measures. Reliability Eng. Syst. Saf. 72(3), 241–245 (2001)
Borgonovo, E., Apostolakis, G.E.: A new importance measure for risk-informed decision-making. Reliability Eng. Syst. Saf. 72(2), 193–212 (2001)
Andrews, J.D.: Birnbaum and criticality measures of component contribution to the failure of phased missions. Reliability Eng. Syst. Saf. 93(12), 1861–1866 (2008)
Epstein, S., Rauzy, A.: Can we trust PRA? Reliability Eng. Syst. Saf. 88(3), 195–205 (2005)
Charles Elegbede, A.O., Chu, C.B., Adjallah, K.H., Yalaoui, F.: Reliability allocation through cost minimization. IEEE Trans. Reliability 52(1), 106–111 (2003)
Misra, K.B.: Reliability analysis and predictions. Elsevier (1992)
Nakagawa, Y., Nakashima, K.: A heuristic method for determining reliability allocation. IEEE Trans. Reliability 26(1), 31–38 (1977)
Billonnet, A.: Redundancy allocation for series-parallel systems using integer linear programming. IEEE Trans. Reliability 57(3), 507–516 (2008)
Kuo, W., Xu, Z., Lin, H.H.: Optimization limits improving system reliability. IEEE Trans. Reliability 39(1), 51–60 (1990)
Xu, M., Zhao, W., Yang, X.: Cost-related importance measure. In: Proceedings of the IEEE International Conference on Information and Automation, pp. 644–649 (2011)
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Xu, M., Li, D., Zhou, SQ., Huang, XJ. (2020). Reliability Allocation Based on Importance Measures. In: Xu, Y., Sun, Y., Liu, Y., Wang, Y., Gu, P., Liu, Z. (eds) Nuclear Power Plants: Innovative Technologies for Instrumentation and Control Systems. SICPNPP 2019. Lecture Notes in Electrical Engineering, vol 595. Springer, Singapore. https://doi.org/10.1007/978-981-15-1876-8_44
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DOI: https://doi.org/10.1007/978-981-15-1876-8_44
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