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Warianty tytułu
Analiza parametrów modeli obsługiwania systemów technicznych z opóźnieniem czasowym
Języki publikacji
Abstrakty
In the article authors are interested in BIP performance for three-element system (“k-out-of-n” reliability structure), the maintenance policy which is one of most commonly used in practice. The BIP may be implemented in technical systems when some information about reliability characteristics is known. The basic reliability parameters that have to be specified in such systems are: an estimation of system components’ time to failure and some delay time characteristics. In order to determine the effects of possible errors and to specify sufficient accuracy of the estimation, the analysis of system costs was done for various values of the expected delay time, assuming three different probability distributions of the delay time (Weibull, Uniform, and Normal). The modelling process was based on the use of GNU Octave software. Test analysis of delay time parameter, assuming different types of probability distributions is the base to conclude: if the form of the distribution has any meaning for economic results of the system, and what kind of consequences may result from improper mean delay time estimation E(h).
W pracy analizie poddano system trzyelementowy (struktura niezawodnościowa progowa), którego procesy obsługiwania realizowane są zgodnie z założeniami Polityki Przeglądów Blokowych (BIP). Strategia ta może być zastosowana w procesie utrzymania systemów technicznych, gdy znane są pewne jego charakterystyki niezawodnościowe, bazujące m.in. na informacjach o czasach pomiędzy uszkodzeniami elementów systemu. W badaniach skupiono się na trzech rozkładach prawdopodobieństwa tej zmiennej losowej (normalny, Weibull, prostokątny). Model symulacyjny opracowano przy wykorzystaniu oprogramowania GNU Octave. Analiza okresu opóźnienia czasowego, przy założeniu różnych postaci rozkładów prawdopodobieństwa tej zmiennej losowej, pozwoliła na ocenę: czy znajomość typu rozkładu prawdopodobieństwa zmiennej losowej h ma istotne znaczenie dla wyników ekonomicznych funkcjonowania systemu, oraz jakie konsekwencje mogą wystąpić w wyniku niewłaściwej estymacji wartości średniej E(h).
Czasopismo
Rocznik
Tom
Strony
288--294
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
autor
- Mechanical Engineering Faculty Wrocław University of Technology Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland
- Mechanical Engineering Faculty Wrocław University of Technology Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland
Bibliografia
- 1. Akbarov A, Christer AH, Wang W. Problem identification in maintenance modeling: a case study. International Journal of Production Research 2008; 46(4): 1031-1046.
- 2. Alzubaidi HJ. Maintenance modelling of a major hospital complex. PhD thesis. Salford: University of Salford, 1993.
- 3. Baker RD, Christer AH. Review of delay-time OR modelling of engineering aspects of maintenance. European Journal of Operational Research 1994; 73: 407-422.
- 4. Baker RD, Wang W. Developing and testing the delay-time model. Journal of the Operational Research Society 1993; 44: 361-374.
- 5. Baker RD, Wang W. Estimating the delay-time distribution of faults in repairable machinery from failure data. IMA Journal of Mathematics Applied in Business & Industry 1992; 3: 259-281.
- 6. Choi K-M. Semi-Markov and Delay Time Models of Maintenance. PhD thesis. Salford: University of Salford, 1997.
- 7. Christer AH. A Review of Delay Time Analysis for Modelling Plant Maintenance. in: Stochastic Models in Reliability and Maintenance, Osaki S. (ed.), Springer, 2002.
- 8. Christer AH. Developments in delay time analysis for modelling plant maintenance. Journal of the Operational Research Society 1999; 50: 1120-1137.
- 9. Christer AH. Delay-time model of reliability of equipment subject to inspection monitoring. Journal of the Operational Research Society 1987; 38, (4): 329-334.
- 10. Christer AH. Modelling inspection policies for building maintenance. Journal of the Operational Research Society 1982; 33: 723-732.
- 11. Christer AH, Lee C, Wang W. A data deficiency based parameter estimating problem and case study in delay time PM modelling. International Journal of Production Economics 2000; 67: 63-76.
- 12. Christer AH, Redmond DF. Revising models of maintenance and inspection. International Journal of Production Economics 1992; 24: 227-234.
- 13. Christer AH, Redmond DF. A recent mathematical development in maintenance theory. IMA Journal of Mathematics Applied in Business and Industry 1990; 2: 97-108.
- 14. Christer AH, Waller WM. An operational research approach to planned maintenance: modelling P.M. for a vehicle fleet. Journal of the Operational Research Society 1984; 35(11): 967-984.
- 15. Christer AH, Waller WM. Reducing production downtime using delay-time analysis. Journal of the Operational Research Society 1984; 35(6): 499-512.
- 16. Christer AH, Waller WM. Delay Time Models of Industrial Inspection Maintenance Problems. Journal of the Operational Research Society 1984; 35(5): 401-406.
- 17. Christer AH, Wang W. A delay-time-based maintenance model of a multi-component system. IMA Journal of Mathematics Applied in Business & Industry 1995; 6: 205-222.
- 18. Christer AH, Wang W, Baker R, Sharp J. Modelling maintenance practice of production plant using delay-time concept. IMA Journal of Mathematics Applied in Business and Industry 1995; 6: 67- 84.
- 19. Christer AH, Wang W, Sharp J, Baker R. A case study of modelling preventive maintenance of production plant using subjective data. Journal of the Operational Research Society 1998; 49: 210-219.
- 20. Christer AH, Whitelaw J. An operational research approach to breakdown maintenance: problem recognition. Journal of the Operational Research Society 1983; 34(11): 1041-1052.
- 21. Desa MI, Christer AH. Modelling in the absence of data: a case study of fleet maintenance in a developing country. Journal of the Operational Research Society 2001; 52(3): 247-260.
- 22. Jodejko-Pietruczuk A, Werbińska-Wojciechowska S. Economical effectiveness of Delay Time approach using in Time-Based maintenance modelling. Proc. of PSAM 11 & ESREL 2012 Conference, 25-29 June 2012, Helsinki, Finland.
- 23. Jodejko-Pietruczuk A, Werbińska-Wojciechowska S. Analysis of Block-Inspection Policy parameters from economical and availability point of view. Proc. of PSAM 11 & ESREL 2012 Conference, 25-29 June 2012, Helsinki, Finland.
- 24. Lee Ch. Applications of Delay Time Theory to Maintenance Practice of Complex Plant. PhD thesis. Salford: University of Salford, 1999.
- 25. Nowakowski T, Werbińska-Wojciechowska S. Developments of time dependencies modeling concepts. Proc. of the European Safety and Reliability Conference, ESREL 2011, Troyes, France, 18-22 September 2011: 832-838.
- 26. Redmond DF. Delay Time Analysis in Maintenance. PhD thesis. Salford: University of Salford, 1997.
- 27. Wang W. An overview of the recent advances in delay-time-based maintenance modelling. Reliability Engineering and System Safety 2012; 106: 165-178.
- 28. Wang H. A survey of maintenance policies of deteriorating systems. European Journal of Operational Research 2002; 139: 469-489.
- 29. Wang W. Subjective estimation of delay-time distribution in maintenance modelling. European Journal of Operational Research 1997; 99: 511-529.
- 30. Wang W, Jia X. An empirical Bayesian based approach to delay time inspection model parameters estimation using both subjective and objective data. Quality and Reliability Engineering International 2007; 23: 95-105.
- 31. Wen-yuan LV, Wang W. Modelling preventive maintenance of production plant given estimated PM data and actual failure times. Proc. of International Conference on Management Science and Engineering ICMSE’06, Lille, 2006.
- 32. Werbińska-Wojciechowska S. Problems of logistics systems modelling with the use of DTA approach. Logistics and Transport 20
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34a68685-8018-49d8-a4ba-716da4d065c0