Prediction of critical infrastructures safety

Kołowrocki, K.; Soszyńska-Budny, J.

doi:10.1109/dt.2014.6868704

Cited by 5 publications

(23 citation statements)

References 11 publications

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“…is useful to choose the routes and nodes classified as critical infrastructures [4], [8]. To show possible applications of discussed methods, the academic example is shown bellow.…”

Section: Algortihm 3 (Kruskal's)mentioning

confidence: 99%

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Graph Theory Approach to Transportation Systems Design and Optimization

Guze¹

2014

TransNav

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The main aim of the paper is to present graph theory parameters and algorithms as tool to analyze and to optimise transportation systems. To realize these goals the 0-1 knapsack problem solution by SPEA algorithm, methods and procedures for finding the minimal spanning tree in graphs and digraphs, domination parameters problems accurate to analyse the transportation systems are introduced and described. Possibility of application of graph theory algorithms and parameters to analyze exemplary transportation system are shown.

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“…is useful to choose the routes and nodes classified as critical infrastructures [4], [8]. To show possible applications of discussed methods, the academic example is shown bellow.…”

Section: Algortihm 3 (Kruskal's)mentioning

confidence: 99%

“…It is very important to keep these systems in good conditions [8], [9]. Thus, the risk and reliability analyses is needed to understand the impact of threats and hazards [4], [5], [8].…”

Section: Introductionmentioning

confidence: 99%

Graph Theory Approach to Transportation Systems Design and Optimization

Guze¹

2014

TransNav

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“…The probabilistic model of the heat supply system operation process can constitute the basis for further reliability analysis of this system in variable operation conditions [3,9]. As a next step of this work, the modeling of the heat supply system's reliability and linking it with the semi-Markov model of this system operation processes [8], will be performed.…”

Section: Discussionmentioning

confidence: 99%

“…Then, to construct a probabilistic model of the heat supply system's operation process, the semi-Markov process can be used. This approach to analyzing the influence of the environment on the system operation process by a semi-Markov modeling allows to join reliability, availability and safety analytical models of complex technical systems related to their operation processes and is presented in [8,9]. It is also a convenient tool to analyze system's reliability with respect to changing in time its operation conditions that is a next step in analysis of considered heat supply system.…”

Section: Semi-markov Model Of the System Operation Processmentioning

confidence: 99%

Probabilistic model of district heating operation process in changeable external conditions

Babiarz¹,

Blokus-Roszkowska²

2015

Energy and Buildings

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“…To tie the results of investigations of the critical infrastructures inside-dependences together with the results coming from the assumed in the critical infrastructures outsidedependencies, the semi-Markov models can be used to describe the complex systems operation processes [1]- [6]. This linking of the inside and outside dependencies of the critical infrastructures and their structures multi-state models [7]- [14] can be used to construct the general safety model of a critical infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Optimization of critical infrastructures safety

Kołowrocki

Soszyńska-Budny

2014

The 10th International Conference on Digital Technologies 2014

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In the paper a general model of a critical infrastructure system with variable operation process is presented. The critical infrastructure system safety structure and the system components' safety parameters are changing dependently at the various operation states. The general safety model for this system and the linear programming are applied to optimize that system operation process and to obtain optimal values of its safety characteristics. The optimization problem depends on finding the optimal values of the critical infrastructure operation process transient probabilities at the particular operation states. Those transient probabilities optimal values maximize the system mean value of the unconditional system lifetime in the safety states subset not worse than a critical system safety state. Moreover, the procedure of finding the optimal values of other main critical infrastructure safety characteristics is presented and applied to an exemplary critical infrastructure.

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Prediction of critical infrastructures safety

Cited by 5 publications

References 11 publications

Graph Theory Approach to Transportation Systems Design and Optimization

Graph Theory Approach to Transportation Systems Design and Optimization

Probabilistic model of district heating operation process in changeable external conditions

Optimization of critical infrastructures safety

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