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Reliability analysis and optimization of equal load-sharing k-out-of-n phased-mission systems

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Warianty tytułu
PL
Analiza niezawodności oraz optymalizacja systemów fazowych typu „k z n” o równym podziale obciążenia elementów składowych
Języki publikacji
EN
Abstrakty
EN
There are many studies on k-out-of-n systems, load-sharing systems (LSS) and phased-mission systems (PMS); however, little attention has been given to load-sharing k-out-of-n systems with phased-mission requirements. This paper considers equal loadsharing k-out-of-n phased-mission systems with identical components. A method is proposed for the phased-mission reliability analysis of the studied systems based on the applicable failure path (AFP). A modified universal generating function (UGF) is used in the AFP-searching algorithm because of its efficiency. The tampered failure rate load-sharing model for the exactly k-out-of-n: F system is introduced and integrated into the method. With the TFR model, the systems with arbitrary load-dependent component failure distributions can be analyzed. According to the time and space complexity analysis, this method is particularly suitable for systems with small k-values. Two applications of the method are introduced in this paper. 1) A genetic algorithm (GA) based on the method is presented to solve the operational scheduling problem of systems with independent submissions. Two theorems are provided to solve the problem under some special conditions. 2) The method is used to select the optimal number of components to make the system reliable and robust.
PL
Istnieje wiele badań na temat systemów typu „k z n”, systemów z podziałem obciążenia (load-sharing systems, LSS) oraz systemów fazowych (tj. systemów o zadaniach okresowych) (phased-missionsystems, PMS); jak dotąd mało uwagi poświęcono jednak systemom typu „k z n” z podziałem obciążenia wymagającym realizacji różnych zadań w różnych przedziałach czasowych. Niniejszy artykuł omawia systemy fazowe typu „k z n” o równym podziale obciążenia przypadającego na identyczne elementy składowe. Zaproponowano metodę analizy niezawodności badanych systemów w poszczególnych fazach ich eksploatacji opartą na pojęciu właściwej ścieżki uszkodzeń (applicablefailurepath, AFP). W algorytmie wyszukującym AFP zastosowano zmodyfikowaną uniwersalną funkcję tworzącą (universal generating function, UGF), która cechuje się dużą wydajnością. Wprowadzono model manipulowanej intensywności uszkodzeń (tamperedfailurerate, TFR) elementów o równym podziale obciążenia dla systemu, w którym liczba uszkodzeń wynosi dokładnie k z n. Model ten włączono do proponowanej metody analizy niezawodności. Przy pomocy modelu TFR można analizować systemy o dowolnych rozkładach uszkodzeń części składowych, gdzie uszkodzenia są zależne od obciążenia. Zgodnie z analizą złożoności czasowej i przestrzennej, metoda ta jest szczególnie przydatna do modelowania układów o małych wartościach k. W pracy przedstawiono dwa zastosowania metody. 1) oparty o omawianą metodę algorytm genetyczny (GA) do rozwiązywania problemu harmonogramowania prac w systemach z niezależnymi podzadaniami. Sformułowano dwa twierdzenia pozwalające na rozwiązanie problemu w pewnych szczególnych warunkach. 2) Wybór optymalnej liczby elementów składowych pozwalającej na zachowanie niezawodności i odporności systemu.
Rocznik
Strony
250--259
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
autor
  • College of Electrical Engineering Jiaoer 321, Yuquan Campus Zhejiang University Hangzhou, Zhejiang, China
autor
  • College of Electrical Engineering Jiaoer 321, Yuquan Campus Zhejiang University Hangzhou, Zhejiang, China
autor
  • College of Electrical Engineering Jiaoer 321, Yuquan Campus Zhejiang University Hangzhou, Zhejiang, China
Bibliografia
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  • 4. Amari S V, Xing L. Reliability analysis of k-out-of-n systems with phased-mission requirements. International Journal of Performability Engineering, 2011; 7(6): 604 -609.
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  • 7. Bhattacharyya G K, Soejoeti Z. A tampered failure rate model for step-stress accelerated life test. Communications in Statistics- Theory and Methods, 1989; 18(5): 1627-1643, http://dx.doi.org/10.1080/03610928908829990.
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  • 9. Cha J H, Yamamoto H, Yun W Y. Optimal Workload for a Multi-Tasking k-out-of-n: G Load Sharing System. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2006; 89(1): 288-296, http://dx.doi.org/10.1093/ietfec/e89-a.1.288
  • 10. Cha J H, Yamamoto H, Yun W Y. Optimal Workload for a Multi-Tasking k-out-of-n: G Load Sharing System. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2006; 89(1): 288-296, http://dx.doi.org/10.1093/ietfec/e89-a.1.288.
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  • 18. Levitin G. A universal generating function approach for the analysis of multi-state systems with dependent elements. Reliability Engineering & System Safety, 2004; 84(3): 285-292, http://dx.doi.org/10.1016/j.ress.2003.12.002.
  • 19. Levitin G. The Universal Generating Function in Reliability Analysis and Optimization. Berlin, Germany: Springer-Verlag. 2005.
  • 20. Levitin G, Xing L, Amari S V. Recursive algorithm for reliability evaluation of non-repairable phased mission systems with binary elements. Reliability, IEEE Transactions on, 2012; 61(2): 533-542, http://dx.doi.org/10.1109/TR.2012.2192060.
  • 21. Levitin G, Xing L, Dai Y, 2013. Optimal Sequencing of Warm Standby Elements. Computers & Industrial Engineering, 65 (4): 570–576, http://dx.doi.org/10.1016/j.cie.2013.05.001.
  • 22. Levitin G, Xing L, Dai Y. Cold-standby sequencing optimization considering mission cost. Reliability Engineering & System Safety, 2013; 118: 28–34, http://dx.doi.org/10.1016/j.ress.2013.04.010.
  • 23. Liu H. Reliability of a load-sharing k-out-of-n: G system: non-iid components with arbitrary distributions. Reliability, IEEE Transactions on, 1998; 47(3): 279-284, http://dx.doi.org/10.1109/24.740502.
  • 24. Mohammad R, Kalam A, Amari S V. Reliability evaluation of Phased-Mission Systems with load-sharing components. Reliability and Maintainability Symposium (RAMS), 2012 Proceedings-Annual. IEEE, 2012: 1-6.
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  • 31. Wang R, Fei H. Conditions for the coincidence of the TFR, TRV and CE models. Statistical papers, 2004; 45(3): 393- 412, http://dx.doi.org/10.1007/BF02777579.
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  • 33. Wu X, Yan H, Li L. Numerical Method for Reliability Analysis of Phased-Mission System Using Markov Chains. Communications in Statistics-Theory and Method, 2012; 41(21): 3960-3973, http://dx.doi.org/10.1080/03610926.2012.697969.
  • 34. Xing L, Amari S V. Reliability of phased-mission systems. Handbook of Performability Engineering. Springer London.2008; 349-368, http://dx.doi.org/10.1007/978-1-84800-131-2_2.
  • 35. Xing L, Amari S V, Wang C. Reliability of k-out-of-n systems with phased-mission requirements and imperfect fault coverage. Reliability Engineering & System Safety, 2012; 103: 45-50, http://dx.doi.org/10.1016/j.ress.2012.03.018.
  • 36. Xing L, Levitin G. BDD-based reliability evaluation of phased-mission systems with internal/external common-cause failures. Reliability Engineering & System Safety 2012;112: 145-153, http://dx.doi.org/10.1016/j.ress.2012.12.003.
  • 37. Yun W Y, Kim G R, Yamamoto H. Economic design of a load-sharing consecutive k-out-of-n: F system. IIE Transactions, 2012; 44(1): 55-67, http://dx.doi.org/10.1080/0740817X.2011.590442.
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Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-6a20cbe3-0ae9-4715-aef4-c1d83645c083
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