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Sequential preventive maintenance policies with consideration of random adjustment-reduction features

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Strategia sekwencyjnej konserwacji zapobiegawczej z uwzględnieniem cech losowej korekcji i losowej redukcji wieku
Języki publikacji
EN
Abstrakty
EN
In existing literature, imperfect maintenance has been widely studied and many studies treat the effectiveness of imperfect maintenance as a fixed constant. In reality, it is more realistic to regard the maintenance efficiency as a random quantity as it may not be precise value due to the lack of sufficient data and/or the variation from system to system. In this paper, a hybrid imperfect maintenance model with random adjustment-reduction parameters is proposed, and a maintenance policy, namely the sequential preventive maintenance in periodic leisure interval, is studied based on the proposed hybrid random imperfect maintenance model, and the corresponding maintenance strategy is optimized by the genetic algorithm (GA). A numerical example and an example of the fuel injection pump of diesel engines are presented to illustrate the proposed method.
PL
W literaturze, temat konserwacji niepełnej został szeroko zbadany i wiele z opisywanych badań traktuje wydajność konserwacji niepełnej jako wartość stałą. W rzeczywistości jednak wydajność konserwacji należy traktować jako wielkość losową, ponieważ nie można jej dokładnie określić ze względu na brak wystarczających danych i / lub różnice między poszczególnymi systemami. W niniejszej pracy zaproponowano model hybrydowy konserwacji niepełnej łączący pojęcia parametrów losowej korekcji i losowej redukcji wieku. Na podstawie proponowanego modelu hybrydowego losowej konserwacji niepełnej przebadano strategię sekwencyjnej konserwacji zapobiegawczej przeprowadzanej okresowo w czasie wolnym od pracy; omawianą strategię konserwacji zoptymalizowano za pomocą algorytmu genetycznego (GA). Proponowaną metodę zilustrowano przykładem liczbowym oraz omówiono na przykładzie pompy wtryskowej paliwa do silników wysokoprężnych.
Rocznik
Strony
306--313
Opis fizyczny
Bibliogr. 34 poz., rys., tab.
Twórcy
autor
  • Institute of Reliability Engineering, School of Mechanical, Electronic and Industrial Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone Chengdu, Sichuan, 611731, P. R. China Zhongshan Institute University of Electronic Science and Technology of China, No. 1, Xueyuan Road, Shiqi District Zhongshan, Guangdong, 528402, P. R. China
autor
  • Institute of Reliability Engineering, School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan, 611731, P. R. China
autor
  • Institute of Reliability Engineering, School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan, 611731, P. R. China
autor
  • Institute of Reliability Engineering, School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan, 611731, P. R. China
Bibliografia
  • 1. Barlow R.E, Hunter L.C. Reliability analysis of a one-unit system. Operational Research, 1961; 9: 200-8, http://dx.doi.org/10.1287/opre.9.2.200.
  • 2. Barlow R.E, Hunter L.C. Optimum preventive maintenance policies. European Journal of Operational Research, 1960; 8: 90-100, http://dx.doi.org/10.1287/opre.8.1.90.
  • 3. Block H.W, Borges W.S, Savits T.H. Age dependent minimal repair. Journal of Application Probability, 1985; 22: 370-85, http://dx.doi.org/10.2307/3213780.
  • 4. Brown M, Proschan F. Imperfect maintenance. In: IMS Lecture Notes-Monograph Ser. 2: Survival analysis. Inst. Math. Statist, Hayward., Calif., 1982, 179-188.
  • 5. Gasmi S, Love C.E, Kahle W. A general repair, proportional-hazards, framework to model complex repairable systems. IEEE Transactions on Reliability, 2003; 52(1): 26-32, http://dx.doi.org/10.1109/TR.2002.807850.
  • 6. Kijima M. Some results for repairable systems with general repair. Journal of Application Probability, 1989; 26: 89-102, http://dx.doi.org/10.2307/3214319.
  • 7. Kijima M, Morimura H, Suzuki Y. Periodical replacement problem without assuming minimal repair. European Journal of Operational Research, 1988; 37: 194-203, http://dx.doi.org/10.1016/0377-2217(88)90329-3.
  • 8. Lam Y. A maintenance model for two-unit redundant system. Microelectronics Reliability, 1997; 37(3): 497-504, http://dx.doi.org/10.1016/0026-2714(95)00184-0.
  • 9. Lam Y, Zhang Y.L, Zheng Y.H. A geometric process equivalent model for a multistate degenerative system. European Journal of Operational Research, 2002; 142(1): 21-9, http://dx.doi.org/10.1016/S0377-2217(01)00164-3.
  • 10. Levitin G. Genetic algorithms in reliability engineering. Reliability Engineering & System Safety, 2006; 91(9): 975-6, http://dx.doi.org/10.1016/j.ress.2005.11.007.
  • 11. Levitin G, Lisnianski A. Optimization of imperfect preventive maintenance for multi-state systems. Reliability Engineering & System Safety, 2000; 67(2): 193-203, http://dx.doi.org/10.1016/S0951-8320(99)00067-8.
  • 12. Li W.J, Pham H. An inspection-maintenance model for systems with multiple competing processes. IEEE Transactions on Reliability, 2005, 54(2): 318-327, http://dx.doi.org/10.1109/TR.2005.847264.
  • 13. Lin D, Zuo M.J, Yam R.C.M. General sequential imperfect preventive maintenance models. International Journal of Reliability, Quality & Safety Engineering, 2000; 7(3): 253-66, http://dx.doi.org/10.1142/S0218539300000213.
  • 14. Liu Y, Huang H.Z, Wang Z.L. A joint redundancy and imperfect maintenance strategy optimization for multi-state systems. IEEE Transactions on Reliability, 2013; 62(2): 368-378, http://dx.doi.org/10.1109/TR.2013.2259193.
  • 15. Liu Y, Huang H.Z, Zhang X.L. A data-driven approach to selecting imperfect maintenance models. IEEE Transactions on Reliability, 2012; 61(1): 101-112, http://dx.doi.org/10.1109/TR.2011.2170252.
  • 16. Malik M.A.K. Reliable preventive maintenance policy. AIIE Transaction, 1979; 11: 221-8, http://dx.doi.org/10.1080/05695557908974463.
  • 17. Nakagawa T. Imperfect preventive maintenance. IEEE Transactions on Reliability, 1979; 28(5): 402, http://dx.doi.org/10.1109/TR.1979.522065.
  • 18. Nakagawa T. Sequential imperfect preventive maintenance policies. IEEE Transactions on Reliability, 1988; 37(3): 295-7, http://dx.doi.org/10.1109/24.3758,
  • 19. Okulewicz J, Salamonowicz T. Modelling preventive maintenance for a vehicle fleet. Eksploatacja i Niezawodnosc-Maintenance and Reliability, 2008; 1(37):67-71.
  • 20. Osaki S, Nakagawa T. A note on age replacement. IEEE Transactions Reliability, 1975; 24: 92-4, http://dx.doi.org/10.1109/TR.1975.5215347.
  • 21. Pham H, Wang H. Imperfect maintenance. European Journal of Operational Research, 1996; 94: 425-38, http://dx.doi.org/10.1016/S0377-2217(96)00099-9.
  • 22. Pham H, Wang H. Optimal opportunistic maintenance of a k-out-of-n:G system with imperfect PM and partial failure. Naval Research Logistics, 2000, 47(3): 223-239, http://dx.doi.org/10.1002/(SICI)1520-6750(200004)47:3<223::AID-NAV3>3.0.CO;2-A.
  • 23. Pham H, Wang H. A quasi-renewal process for software reliability and testing costs. IEEE Transactions on Systems, Man and Cybernetic, Part A: Systems and Humans, 2001, 31(6): 623-631, http://dx.doi.org/10.1109/3468.983418.
  • 24. Satom T, Osaki S. Optimal replacement policies for a two-unit system with shock damage interaction. Computers & Mathematics with Applications, 2003; 46(7): 1129-38, http://dx.doi.org/10.1016/S0898-1221(03)90128-3.
  • 25. Shin I, Lim T.J, Lie C.H. Estimating parameters of intensity function and maintenance effect for repairable unit. Reliability Engineering & System Safety, 1996; 54(1): 1-10, http://dx.doi.org/10.1016/S0951-8320(96)00097-X.
  • 26. Wang H. A survey of maintenance policies of deteriorating system. European Journal of Operational Research, 2002; 139(3): 469-89, http://dx.doi.org/10.1016/S0377-2217(01)00197-7.
  • 27. Wang H, Pham H. Availability and maintenance of series systems subject to imperfect repair and correlated failure and repair. European Journal of Operational Research, 2006; 174(3): 1706-22, http://dx.doi.org/10.1016/j.ejor.2005.03.030.
  • 28. Wang H, Pham H. A quasi renewal process and its application in the imperfect maintenance. International Journal of Systems Science, 1996, 27: 1055-1062, http://dx.doi.org/10.1080/00207729608929311.
  • 29. Wang H, Pham H, Reliability and Optimal Maintenance. Springer, 2006.
  • 30. Wu S, Clemets-Croome D. Preventive maintenance models with random maintenance quality. Reliability Engineering & System Safety, 2005; 90(1): 99-105, http://dx.doi.org/10.1016/j.ress.2005.03.012.
  • 31. Wu S, Zuo M.J. Linear and nonlinear preventive maintenance models. IEEE Transactions on Reliability, 2010; 59(1): 242-249, http://dx.doi.org/10.1109/TR.2010.2041972.
  • 32. Zhang Y.L, Yam R.C.M, Zuo M.J, Optimal replacement policy for a multistate repairable system. Journal of Operational Research Society, 2002; 53(3): 336-41, http://dx.doi.org/10.1057/palgrave.jors.2601277.
  • 33. Zhao X.F, Nakagawa T, Qian C.H. Optimal imperfect preventive maintenance policies for a used system. International Journal of Systems Science, 2012; 43(9): 1632-41, http://dx.doi.org/10.1080/00207721.2010.549583.
  • 34. Zhou X, Xi L, Lee J. Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation. Reliability Engineering & System Safety, 2007; 92(4):530-4, http://dx.doi.org/10.1016/j.ress.2006.01.006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-12a2f633-08d1-4929-aaf8-721f84d64b1b
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