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Analysis of the Robustness and Recovery of Critical Infrastructures by Goal Tree–Success Tree: Dynamic Master Logic Diagram, Within a Multistate System-of-Systems Framework, in the Presence of Epistemic Uncertainty
Author(s) -
Elisa Ferrario,
Nicola Pedroni,
Enrico Zio
Publication year - 2015
Publication title -
asce-asme journal of risk and uncertainty in engineering systems part b mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.35
H-Index - 13
eISSN - 2332-9025
pISSN - 2332-9017
DOI - 10.1115/1.4030439
Subject(s) - scada , robustness (evolution) , interdependence , computer science , monte carlo method , fault tree analysis , tree (set theory) , computation tree logic , component (thermodynamics) , reliability engineering , data mining , theoretical computer science , temporal logic , mathematics , engineering , statistics , mathematical analysis , biochemistry , chemistry , physics , political science , law , electrical engineering , gene , thermodynamics
International audienceIn this paper, we look at the robustness and recovery of connected critical infrastructures (CIs) under a system-of-systems (SoS) framework taking into account i) the dependencies among the components of an individual CI and the interdependencies among different CIs; ii) the variability in component performance, by a multi-state model; iii) the epistemic uncertainty in the probabilities of transitions between different components states and in the mean values of the holding times distributions, by means of intervals. We adopt the Goal Tree Success Tree – Dynamic Master Logic Diagram (GTST-DMLD) for system modelling and perform the quantitative assessment by Monte Carlo simulation. We illustrate the approach by way of a simplified case study consisting of two interdependent infrastructures (electric power system and gas network) and a supervisory control and data acquisition (SCADA) system connected to the gas network

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