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Reliability and availability analysis of dependent–dynamic systems with DRBDs

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  • Distefano, Salvatore
  • Puliafito, Antonio

Abstract

Reliability/availability evaluation is an important, often indispensable, step in designing and analyzing (critical) systems, whose importance is constantly growing. When the complexity of a system is high, dynamic effects can arise or become significant. The system might be affected by dependent, cascade, on-demand and/or common cause failures, its units could interfere (load sharing, inter/sequence-dependency), and so on. It is also of great interest to evaluate redundancy and maintenance policies but, since dynamic behaviors usually do not satisfy the stochastic independence assumption, notations such as reliability block diagrams (RBDs), fault trees (FTs) or reliability graphs (RGs) become approximated/simplified techniques, unable to capture dynamic–dependent behaviors. To overcome such problem we developed a new formalism derived from RBDs: the dynamic RBDs (DRBDs). In this paper we explain how the DRBDs notation is able to adequately model and therefore analyze dynamic–dependent behaviors and complex systems. Particular emphasis is given to the modeling and the analysis phases, from both the theoretical and the practical point of views. Several case studies of dynamic–dependent systems, selected from literature and related to different application fields, are proposed. In this way we also compare the DRBDs approach with other methodologies, demonstrating its effectiveness.

Suggested Citation

  • Distefano, Salvatore & Puliafito, Antonio, 2009. "Reliability and availability analysis of dependent–dynamic systems with DRBDs," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1381-1393.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:9:p:1381-1393
    DOI: 10.1016/j.ress.2009.02.004
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    References listed on IDEAS

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    1. Walter, Max & Siegle, Markus & Bode, Arndt, 2008. "OpenSESAME—the simple but extensive, structured availability modeling environment," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 857-873.
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    Cited by:

    1. Lu, Ji-Min & Wu, Xiao-Yue, 2014. "Reliability evaluation of generalized phased-mission systems with repairable components," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 136-145.
    2. BULUT, Merve & ÖZCAN, Evrencan, 2021. "A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    3. Signoret, Jean-Pierre & Dutuit, Yves & Cacheux, Pierre-Joseph & Folleau, Cyrille & Collas, Stéphane & Thomas, Philippe, 2013. "Make your Petri nets understandable: Reliability block diagrams driven Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 113(C), pages 61-75.
    4. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "A methodology for throughput capacity analysis of a production facility considering environment condition," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1637-1646.
    5. Simeu-Abazi, Zineb & Lefebvre, Arnaud & Derain, Jean-Pierre, 2011. "A methodology of alarm filtering using dynamic fault tree," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 257-266.

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