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Analysis of large fault trees based on functional decomposition

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  • Contini, Sergio
  • Matuzas, Vaidas

Abstract

With the advent of the Binary Decision Diagrams (BDD) approach in fault tree analysis, a significant enhancement has been achieved with respect to previous approaches, both in terms of efficiency and accuracy of the overall outcome of the analysis. However, the exponential increase of the number of nodes with the complexity of the fault tree may prevent the construction of the BDD. In these cases, the only way to complete the analysis is to reduce the complexity of the BDD by applying the truncation technique, which nevertheless implies the problem of estimating the truncation error or upper and lower bounds of the top-event unavailability.

Suggested Citation

  • Contini, Sergio & Matuzas, Vaidas, 2011. "Analysis of large fault trees based on functional decomposition," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 383-390.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:3:p:383-390
    DOI: 10.1016/j.ress.2010.11.002
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    References listed on IDEAS

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    1. Jung, Woo Sik & Yang, Joon-Eon & Ha, Jaejoo, 2005. "Development of measures to estimate truncation error in fault tree analysis," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 30-36.
    2. Ibáñez-Llano, Cristina & Rauzy, Antoine & Meléndez, Enrique & Nieto, Francisco, 2010. "Hybrid approach for the assessment of PSA models by means of binary decision diagrams," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1076-1092.
    3. A. B. Rauzy & J Gauthier & X Leduc, 2007. "Assessment of large automatically generated fault trees by means of binary decision diagrams," Journal of Risk and Reliability, , vol. 221(2), pages 95-105, June.
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    Citations

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    Cited by:

    1. Santosh B. Rane & Yahya A. M. Narvel, 2016. "Reliability assessment and improvement of air circuit breaker (ACB) mechanism by identifying and eliminating the root causes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(1), pages 305-321, December.
    2. Vaidas Matuzas & Sergio Contini, 2012. "On the efficiency of functional decomposition in fault tree analysis," Journal of Risk and Reliability, , vol. 226(6), pages 635-645, December.
    3. Miroslav Kvassay & Vitaly Levashenko & Elena Zaitseva, 2016. "Analysis of minimal cut and path sets based on direct partial Boolean derivatives," Journal of Risk and Reliability, , vol. 230(2), pages 147-161, April.
    4. S Contini & V Matuzas, 2012. "Coupling decomposition and truncation for the analysis of complex fault trees," Journal of Risk and Reliability, , vol. 226(3), pages 249-261, June.
    5. Matuzas, V. & Contini, S., 2015. "Dynamic labelling of BDD and ZBDD for efficient non-coherent fault tree analysis," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 183-192.
    6. Yves Dutuit & Antoine Rauzy, 2014. "Importance factors of coherent systems: A review," Journal of Risk and Reliability, , vol. 228(3), pages 313-323, June.

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