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Modelling critical infrastructure operation process including operating environment threats

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the article the traditional semi-Markov approach to a complex technical system operation process modeling is developed to modelling a critical infrastructure operation process including operating environment threats. The method of defining the parameters of this operation process is presented and a new procedure of their determining in the case when the critical infrastructure operating threats are not explicit sepatated in this process is proposed.
Rocznik
Strony
81--88
Opis fizyczny
Bibliogr. 26 poz.
Twórcy
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
Bibliografia
  • [1] EU-CIRCLE Report D1.1. (2015). EU-CIRCLE Taxonomy.
  • [2] EU-CIRCLE Report D1.4-GMU3. (2016). Holistic approach to analysis and identification of critical infrastructures within the Baltic Sea area and its surroundings – Formulating the concept of a global network of critical infrastructures in this region (“network of networks” approach).
  • [3] EU-CIRCLE Report D2.1-GMU3. (2016). Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Climate-Weather Change Process (C-WCP) including Extreme Weather Hazards (EWH).
  • [4] EU-CIRCLE Report D2.1-GMU4. (2016). Modelling outside dependences influence on Critical Infrastructure Safety (CIS) - Designing Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) by linking CIOP and CWCP models.
  • [5] EU-CIRCLE Report D2.2-GMU1. (2016). Modelling port piping transportation system operation process at the southern Baltic Sea area using the Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) in this region.
  • [6] EU-CIRCLE Report D2.2-GMU2. (2016). Modelling maritime ferry transportation system operation process at the Baltic Sea area using the Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) in this region.
  • [7] EU-CIRCLE Report D2.2-GMU3. (2016). Modelling port, shipping and ship traffic and port operation information critical infrastructures network operation process at the Baltic Sea area using the Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) in this region.
  • [8] EU-CIRCLE Report D2.2-GMU4. (2016). Modelling the operation process of the Baltic Sea critical infrastructures global network of interconnected and interdependent critical infrastructures located within the Baltic Sea and ashore around that function collaboratively using the Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWE) in its operating environment (“network of networks” approach).
  • [9] EU-CIRCLE Report D2.3-GMU1. (2016). Identification methods and procedures of Critical Infrastructure Operation Process (CIOP) including Operating Environment Threats (OET).
  • [10] EU-CIRCLE Report D2.3-GMU3. (2016). Identification methods and procedures of unknown parameters of Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH).
  • [11] EU-CIRCLE Report D2.3-GMU4. (2016). Evaluation of unknown parameters of a port oil piping transportation system operation process related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) at the southern Baltic Sea area.
  • [12] EU-CIRCLE Report D2.3-GMU5. (2016). Evaluation of unknown parameters of a maritime ferry transportation system operation process related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) at the Baltic Sea area.
  • [13] Ferreira, F. & Pacheco, A. (2007). Comparison of level-crossing times for Markov and semiMarkov processes. Statistics and Probability Letters 7, 2, 151-157.
  • [14] Glynn, P. W. & Haas, P. J. (2006). Laws of large numbers and functional central limit theorems for generalized semi-Markov processes. Stochastic Models 22, 2, 201-231.
  • [15] Grabski, F. (2002). Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science (in Polish).
  • [16] Guze, S., Kołowrocki, K. & Soszyńska, J. (2008). Modeling environment and infrastructure influence on reliability and operation processes of port transportation systems. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 2, 1, 179-188.
  • [17] Kołowrocki, K. (2014). Reliability of Large and Complex Systems. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier.
  • [18] Kolowrocki, K. & Soszynska, J. (2009). Modeling environment and infrastructure influence on reliability and operation process of port oil transportation system. Electronic Journal Reliability & Risk Analisys: Theory & Applications 2, 3, 131-142.
  • [19] Kolowrocki, K. & Soszynska, J. (2009). Safety and risk evaluation of Stena Baltica ferry in variable operation conditions. Electronic Journal Reliability & Risk Analisys: Theory & Applications 2, 4, 168-180.
  • [20] Kolowrocki, K. & Soszynska, J. (2010). Reliability modeling of a port oil transportation system’s operation processes. International Journal of Performance Engineering 6, 1, 77-87.
  • [21] Kolowrocki, K. & Soszynska, J. (2010). Reliability, availability and safety of complex technical systems: modelling –identification – prediction – optimization. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 4, 1, 133-158.
  • [22] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction – Optimization. London, Dordrecht, Heildeberg, New York, Springer.
  • [23] Limnios, N. & Oprisan, G. (2005). Semi-Markov Processes and Reliability. Birkhauser, Boston.
  • [24] Mercier, S. (2008). Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10, 2, 179-198.
  • [25] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. PhD Thesis, Gdynia Maritime University-System Research Institute Warsaw (in Polish).
  • [26] Soszyńska, J., Kołowrocki, K., Blokus-Roszkowska, A. et al. (2010). Prediction of complex technical systems operation processes. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 4, 2, 379-510.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bbe9feb1-dd25-4e8a-b0f0-9f1227cf8826
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