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Integrated Impact Model on Critical Infrastructure Safety Related to Its Operation Process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main objective of this paper is to present recently developed, the general safety analytical models of complex multistate technical systems related to their operation processes and to apply them practically to critical infrastructures. To realize this goal, the integrated model of critical infrastructure safety related to its operation process is proposed. The basic safety characteristics of this model are presented as the very practically significant. Furthermore, the unconditional safety functions of systems with different safety structures are determined under assumption that their safety functions are exponential. In case of the critical infrastructure safety analysis, its safety function and risk function which graph corresponds to the fragility curve, its mean lifetime up to the exceeding a critical safety state, the moment when its risk function value exceeds the acceptable safety level, the component and critical infrastructure intensities of ageing/degradation and the coefficients of operation impact on component and critical infrastructure intensities of ageing are defined.
Słowa kluczowe
Rocznik
Strony
1--10
Opis fizyczny
Bibliogr. 9 poz., wykr.
Twórcy
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • 1. Ferreira F., Pacheco A., Comparison of levelcrossing times for Markov and semi-Markov processes. Statistics and Probability Letters, Vol. 7, No 2, 151-157, 2007
  • 2. Glynn P.W., Haas P.J., Laws of large numbers and functional central limit theorems for generalized semi-Markov processes. Stochastic Models,Vol. 22, No 2, 201-231, 2006
  • 3. Grabski F., Semi-Markov Processes: Application in System Reliability and Maintenance, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014
  • 4. Kołowrocki K., Reliability of Large and Complex Systems, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014
  • 5. Kołowrocki K., Soszyńska-Budny J., Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization, London, Dordrecht, Heildeberg, New York, Springer, 2011
  • 6. Limnios N., Oprisan G., Semi-Markov Processes and Reliability. Birkhauser, Boston, 2005
  • 7. Xue J., On multi-state system analysis, IEEE Trans on Reliab. 34, 329-337, 1985
  • 8. Xue J., Yang K., Dynamic reliability analysis of coherent multi-state systems, IEEE Trans on Reliab. 4(44), 683-688, 1995a
  • 9. Xue J., Yang K., Symmetric relations in multi-state systems, IEEE Trans on Reliab 4(44), 689-693, 1995
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-99f8dce6-1f11-448a-b08c-bc60e9aceaf1
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