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Complex technical systems safety prediction

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There are presented general safety analytical models of complex multistate technical systems related to their operation processes. They are the integrated general models of complex technical systems, linking their multistate safety models and their operation processes models and considering variable at the different operation states safety structures and their components safety parameters. The conditional safety functions at the system particular operation states and independent of the system particular operation states the unconditional safety function and the risk function of the complex technical systems are defined. These joint models of the safety and the variable in time system operation processes are constructed for multistate series, parallel, “m out of n”, consecutive “m out of n: F”, series-parallel, parallel-series, series-“m out of k”, “mi out of li”-series, series-consecutive “m out of k: F” and consecutive “mi out of li: F”-series systems. The joint models are applied to determining safety characteristics of these systems related to their varying in time safety structures and their components safety characteristics. Under the assumption that the considered systems are exponential, the unconditional safety functions of these systems are determined. The proposed models and methods are applied to the safety analysis, evaluation and prediction of the one subsystem of the port grain transportation system related to varying in time their operation processes, structures and components safety parameters.
Rocznik
Strony
127--142
Opis fizyczny
Bibliogr. 17 poz., rys, wykr.
Twórcy
  • Maritime University, Gdynia, Poland
Bibliografia
  • [1] Ferreira, F. & Pacheco, A. (2007). Comparison of level-crossing times for Markov and semiMarkov processes. Stat & Probab Lett 77(2), 151157.
  • [2] Glynn, P. W. & Haas, P.J. (2006). Laws of large numbers and functional central limit theorems for generalized semi-Markov processes. Stoch Model 22(2), 201-231.
  • [3] Grabski, F. (2002). Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science, (in Polish).
  • [4] Habibullah, M. S., Lumanpauw, E., Kolowrocki, K., Soszynska, J. & Ming, N.G. (2009). A computational tool for general model of industrial systems. operation processes. Electronic Journal Safety & Risk Analysis: Theory & Applications, 2(4), 181-191.
  • [5] Kołowrocki, K (2004). Reliability of Large Systems, Elsevier.
  • [6] Kołowrocki, K. (2006). Reliability and risk evaluation of complex systems in their operation processes. International Journal of Materials & Structural Safety 4(2), 129-147.
  • [7] Kołowrocki, K. & Soszyńska, J. (2006). Reliability and availability of complex systems. Quality and Safety Engineering International. Vol. 22, Issue 1, J. Wiley & Sons Ltd., 79-99.
  • [8] Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. Springer.
  • [9] Limnios, N. & Oprisan, G. (2005). Semi-Markov Processes and relibility. Birkhauser, Boston.
  • [10] Mercier, S. (2008). Numerical bounds for semiMarkovian quantities and application to reliability. Methodol and Comput in Appl Probab. 10(2), 179-198.
  • [11] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. International Journal of Safety, Quality and Safety Engineering 14(6), 617-634.
  • [12] Soszyńska, J. (2006). Reliability evaluation of a port oil transportation system in variable operation conditions. Int J of Press Vessel and Pip 83(4):304-310
  • [13] Soszyńska, J. (2006). Safety analysis of multistate systems in variable operations conditions (in Polish). Diagnostyka 3(39):25-34
  • [14] Soszyńska, J. (2010). Reliability and risk evaluation of a port oil pipeline transportation system in variable operation conditions. Int J of Press Vessel and Pip 87(2-3):81-87
  • [15] Xue, J. (1985). On multi-state system analysis. IEEE Trans on Reliab. 34, 329-337.
  • [16] Xue, J. & Yang, K. (1995). Dynamic reliability analysis of coherent multi-state systems. IEEE Trans on Reliab. 4(44), 683-688.
  • [17] Xue, J. & Yang, K. (1995). Symmetric relations in multi-state systems. IEEE Trans on Reliab 4(44), 689-693.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fbda92c9-608a-4dda-b39a-b0fed6e87457
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