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Testing uniformity of statistical data sets coming from complex systems operation processes

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The method of the statistical data sets uniformity analysis based on Kolmogorov-Smirnov test is presented. The procedure of statistical data sets uniformity testing is proposed to be applied to the empirical sojourn times in operation states coming from the operation processes of the complex technical systems. The proposed procedure is practically applied to the analysis and uniformity testing of the maritime ferry spring and Winter sets of realizations of the sojourn times in particular operation states.
Rocznik
Strony
123--132
Opis fizyczny
Bibliogr. 24 poz., tab., wykr.
Twórcy
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
Bibliografia
  • [1] Barbu, V. & Limnios, N. (2006). Epirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics, Vol. 18, No. 7-8, 483-498.
  • [2] Black, M., Brint, A.T. & Brailsford, J. R. (2005). A semi-Markov approach for modelling asset deterioration. Journal of the Operational Research Society, Vol. 56, No. 11, 1241-1249.
  • [3] Blokus-Roszkowska, A., Guze, S., Kołowrocki, K., Jurdziński, M., Kwiatuszewska-Sarnecka, B., Milczek, B., Soszyńska, J., Salahuddin, H., M. & Fu Xiuju. (2009). Data mining for identification and prediction of operation, safety and reliability characteristics of complex industrial systems and processes. WP6. Methods and algorithms for evaluating unknown parameters of system operation, reliability and safety models and their applications in port, shipyard and maritime transport. WP6 - Task 6.1.3 – English – 30.11.2009. Poland-Singapore Joint Project. MSHE Decision No. 63/N-Singapore/2007/0.
  • [4] Dziula, P., Jurdziński, M., Kołowrocki, K. & Soszyńska, J. (2007). On multi-state safety analysis in shipping. International Journal of Gnedenko e-Forum “Reliability: Theory & Application”, Vol. 2, No 3-4, 40-53.
  • [5] Ferreira, F. & Pacheco, A. (2007). Comparison of level-crossing times for Markov and semi-Markov processes. Statistics & Probability Letters, Vol. 77, No. 2, 151-157.
  • [6] Grabski, F. (2002). Semi-Markov Models of Systems Reliability and Operations. Monograph. Analysis. Monograph. System Research Institute, Polish Academy of Science, (in Polish).
  • [7] Giudici, P. & Figini, S. (2009). Applied data mining for business and industry. John Wiley & Sons Ltd.
  • [8] Habibullah, M. S., Lumanpauw, E., Kolowrocki, K., Soszynska, J. & Ming, N. G. (2009). A computional tool for general model of industrial systems operation processes. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 181-191.
  • [9] Hryniewicz, O. (1995). Lifetime tests for imprecise data and fuzzy reliability requirements. Reliability and Safety Analyses under Fuzziness. Onisawa T. and Kacprzyk J., Eds., Physica Verlag, Heidelberg, 169-182.
  • [10] Kołowrocki, K. (2003). Asymptotic approach to reliability analysis of large systems with degrading components. International Journal of Reliability, Quality and Safety Engineering, Vol. 10, No 3, 249-288.
  • [11] Kołowrocki, K. (2004). Reliability of Large Systems. Amsterdam-Boston-Heidelberg-London-New York-Oxford-Paris-San Diego-San Francisco-Singapore-Sydney-Tokyo, Elsevier.
  • [12] Kołowrocki, K. (2008). Reliability of large systems, Section in Encyclopedia of Quantitative Risk Analysis and Assessment, John Wiley & Sons, Vol. 4, 1466-1471.
  • [13] Kołowrocki, K. & Soszyńska, J. (2008). A general model of industrial systems operations processes related to their environment and infrastructure. Proc. 2nd Summer Safety and Reliability Seminars – SSARS 2008. Vol. 2, 223-226.
  • [14] Kolowrocki, K. & Soszynska, J. (2009). Modelling environment and infrastructure influence on reliability and operation process of port oil transportation system. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 3, 131-142.
  • [15] Kolowrocki, K. & Soszynska, J. (2009). Reliability, risk and availability based optimization of complex technical systems operation processes. Part 1. Theoretical backgrounds. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 2009, 141-152.
  • [16] Kolowrocki, K. & Soszynska, J. (2009). Safety and risk evaluation of Stena Baltica ferry in variable operation conditions. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 168-180.
  • [17] Kołowrocki, K., Soszyńska, J., Jurdziński, M. & Dziula, P. (2007). On multi-state safety analysis in shipping. International Journal of Reliability, Quality and Safety Engineering. System Reliability and Safety, Vol. 14, No 6, 547-567.
  • [18] Rice, J. A. (2007). Mathematical statistics and data analysis. Duxbury. Thomson Brooks/Cole. University of California. Berkeley.
  • [19] Ross, S. M. (2007). Introduction to probabilisty models. Academic Press, Elsevier, San Diego.
  • [20] Soszyńska, J. (2006). Reliability of large seriesparallel system in variable operation conditions. International Journal of Automation and Computing, Vol. 3, No 2, 199-206.
  • [21] Soszyńska, J. (2006). Reliability evaluation of a port oil transportation system in variable operation conditions. International Journal of Pressure Vessels and Piping, Vol. 83, Issue 4, 304-310.
  • [22] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. International Journal of Reliability, Quality and Safety Engineering. System Reliability and Safety, Vol. 14, No 6, 617-634.
  • [23] Soszynska, J. (2009). Asymptotic approach to reliability evaluation of large “m out of l”- series system in variable operation conditions. Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, 9-43.
  • [24] Wilson, A. G., Graves, T. L., Hamada, M. S. et al. (2006). Advances in data combination, analysis and collection for system reliability assessment. Statistical Science, Vol. 21, No. 4, 514-531.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dc304c0f-bc7c-4767-bdbf-9d1de2a5609f
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