DOI: 10.29007/p16v
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A compositional semantics for Repairable Fault Trees with general distributions

Abstract: Fault Tree Analysis (FTA) is a prominent technique in industrial and scientific risk assessment. Repairable Fault Trees (RFT) enhance the classical Fault Tree (FT) model by introducing the possibility to describe complex dependent repairs of system components. Usual frameworks for analyzing FTs such as BDD, SBDD, and Markov chains fail to assess the desired properties over RFT complex models, either because these become too large, or due to cyclic behaviour introduced by dependent repairs. Simulation is anothe… Show more

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Cited by 5 publications
(8 citation statements)
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“…Instead, in this work we follow [26,27] and call an AT dynamic when its structure includes a sequential-AND gate-so its semantics must distinguish among different execution orders of the basic attack steps. This is akin to the notions used in fault tree analysis, where dynamic gates like priority-AND in dynamic fault trees have similar semantics to sequential-AND in ATs [28,57].…”
Section: Related Workmentioning
confidence: 99%
“…Instead, in this work we follow [26,27] and call an AT dynamic when its structure includes a sequential-AND gate-so its semantics must distinguish among different execution orders of the basic attack steps. This is akin to the notions used in fault tree analysis, where dynamic gates like priority-AND in dynamic fault trees have similar semantics to sequential-AND in ATs [28,57].…”
Section: Related Workmentioning
confidence: 99%
“…The mathematical definition of a compositional semantics for repairable dfts that allows this approach is introduced in [20]; moreover, [3] formally defines simulation traces in such iosa semantics.…”
Section: Fault Tree Analysis Via (Rare Event) Simulationmentioning
confidence: 99%
“…Note however that repairs do not affect mcs. Thus, in this work we consider the class of repairable fault trees (rft) described in [20]-but excluding PAND gates.…”
Section: Mcs Re-writing Of Treesmentioning
confidence: 99%
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