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Assessment of large automatically generated fault trees by means of binary decision diagrams

Author

Listed:
  • A. B. Rauzy
  • J Gauthier
  • X Leduc

Abstract

Dassault Aviation have developed a reliability workbench based on the high-level formal description language AltaRica. The workbench includes a compiler of AltaRica models into fault trees. The fault trees generated for the largest industrial systems involve up to a thousand basic events and several dozen thousand gates; moreover, they are non-coherent. The assessment of such large formulae is challenging, even for binary decision diagrams, the state-of-the-art data structure to encode and to manipulate Boolean functions. This article describes the various heuristics and strategies that were used to make the assessment tractable.

Suggested Citation

  • 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.
  • Handle: RePEc:sae:risrel:v:221:y:2007:i:2:p:95-105
    DOI: 10.1243/1748006XJRR47
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    Cited by:

    1. Mo, Yuchang, 2013. "Can we trust module-respect heuristics?," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 139-146.
    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.

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