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Hybrid approach for the assessment of PSA models by means of binary decision diagrams

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  • Ibáñez-Llano, Cristina
  • Rauzy, Antoine
  • Meléndez, Enrique
  • Nieto, Francisco

Abstract

Binary decision diagrams are a well-known alternative to the minimal cutsets approach to assess the reliability Boolean models. They have been applied successfully to improve the fault trees models assessment. However, its application to solve large models, and in particular the event trees coming from the PSA studies of the nuclear industry, remains to date out of reach of an exact evaluation. For many real PSA models it may be not possible to compute the BDD within reasonable amount of time and memory without considering the truncation or simplification of the model.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:reensy:v:95:y:2010:i:10:p:1076-1092
    DOI: 10.1016/j.ress.2010.04.016
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    References listed on IDEAS

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    1. A B Rauzy, 2008. "Some disturbing facts about depth-first left-most variable ordering heuristics for binary decision diagrams," Journal of Risk and Reliability, , vol. 222(4), pages 573-582, December.
    2. C Ibáñez-Llano & A Rauzy & E Meléndez & F Nieto, 2009. "Minimal cutsets-based reduction approach for the use of binary decision diagrams on probabilistic safety assessment fault tree models," Journal of Risk and Reliability, , vol. 223(4), pages 301-311, December.
    3. Contini, S. & Cojazzi, G.G.M. & Renda, G., 2008. "On the use of non-coherent fault trees in safety and security studies," Reliability Engineering and System Safety, Elsevier, vol. 93(12), pages 1886-1895.
    4. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. Zaitseva, Elena & Levashenko, Vitaly & Rabcan, Jan, 2023. "A new method for analysis of Multi-State systems based on Multi-valued decision diagram under epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    4. 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.

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