nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

2. Related Concepts in Reliability Modeling of Warm Standby Systems

verfasst von : Prof. Rui Peng, Dr. Qingqing Zhai, Prof. Jun Yang

Erschienen in: Reliability Modelling and Optimization of Warm Standby Systems

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

From the reliability modeling perspective, the warm standby component can fail both in the warm standby state and the normal working state, and its lifetime in the normal working state may depend on the duration of the warm standby state.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Dobson I, Carreras B A, Lynch V E, et al. Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization [J]. Chaos, 2007, 17 (2): 026103 (1–13).

Pepyne D L. Topology and cascading line outages in power grids [J]. Journal of Systems Science and Systems Engineering, 2007, 16 (2): 202–21.

Bouricius W, Carter W C, Schneider P. Reliability modeling techniques for self-repairing computer systems [A]. The 24th National ACM Conference, 1969 [C]. ACM, 1969: 295–309.

Arnold T F. The concept of coverage and its effect on the reliability model of a repairable system [J]. IEEE Transactions on Computers, 1973, 100 (3): 251–4

Xing L. Reliability evaluation of phased-mission systems with imperfect fault coverage and common-cause failures [J]. IEEE Transactions on Reliability, 2007, 56 (1): 58–68.

Kay R, Kinnersley N. On the use of the accelerated failure time model as an alternative to the proportional hazards model in the treatment of time to event data: A case study in influenza [J]. Drug Information Journal, 2002, 36 (3): 571–9.

Finkelstein M. On statistical and information-based virtual age of degrading systems [J]. Reliability Engineering & System Safety, 2007, 92 (5): 676–81.

Barabadi A, Barabady J, Markeset T. Application of accelerated failure model for the oil and gas industry in Arctic region [A]. Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2010 [C].IEEE, 2244–8.

Cox D R. Regression models and life-tables [J]. Journal of the Royal Statistical Society Series B (Methodological), 1972, 34 (2): 187–220.

10.

Kumar D, Klefsjö B. Proportional hazards model: a review [J]. Reliability Engineering & System Safety, 1994, 44 (2): 177–88.

11.

Li X, Yan R, Zuo M J. Evaluating a warm standby system with components having proportional hazard rates [J]. Operations Research Letters, 2009, 37 (1): 56–60.

12.

Nelson W. Accelerated life testing step-stress models and data analysis [J]. IEEE Transaction on Reliability, 1980, 29: 103–108.

13.

DeGroot M, Goel P. Bayesian estimation and optimal designs in partially accelerated life testing [J]. Naval Research Logistics Quarterly, 1979, 26: 223–235.

14.

Amari S V, Bergman R. Reliability analysis of k-out-of-n load-sharing systems [A]. Annual Reliability & Maintainability Symposium (RAMS2008), LA, USA, 2008 [C]. Piscataway, NJ: IEEE, 440–445.

15.

Solomon P. Effect of misspecification of regression models in the analysis of survival data [J]. Baometrzka, 1984, 71 (2): 291–298.

16.

Nelson W. Accelerated Testing: Statistical Models, Test Plans, and Data Analyses. Wiley & Sons, 1990.

17.

Amari S V, Dugan J B, Misra R B. A separable method for incorporating imperfect fault-coverage into combinatorial models [J]. IEEE Transactions on Reliability, 1999, 48 (3): 267–74.

18.

Chang Y R, Amari S V, Kuo S Y. OBDD-based evaluation of reliability and importance measures for multistate systems subject to imperfect fault coverage [J]. IEEE Transactions on Dependable and Secure Computing, 2005, 2 (4): 336–47.

19.

Dugan J B. Fault trees and imperfect coverage [J]. IEEE Transactions on Reliability, 1989, 38 (2): 177–85.

20.

Amari S, Myers A, Rauzy A. An efficient algorithm to analyze new imperfect fault coverage models [A]. Annual Reliability and Maintainability Symposium (RAMS2007), 2007 [C].IEEE, 420–6.

21.

陈光宇, 黄锡滋, 唐小我. 不完全覆盖的多层次系统可靠性分析 [J]. 系统工程学报, 2005, 20 (5): 60–6.

22.

陈光宇, 黄锡滋, 唐小我. 不完全覆盖的多阶段任务系统可靠性集成分析 [J]. 系统工程理论与实践, 2006, 26 (4): 1–8.

23.

陈光宇, 黄锡滋, 张小民, et al. 不完全覆盖的多阶段任务系统可靠性综合分析 [J]. 系统工程学报, 2007, 22 (5): 539–45.

24.

Myers A F. k-out-of-n: G system reliability with imperfect fault coverage [J]. IEEE Transactions on Reliability, 2007, 56 (3): 464–73.

25.

Levitin G, Amari S V. Multi-state systems with multi-fault coverage [J]. Reliability Engineering & System Safety, 2008, 93 (11): 1730–9.

26.

Levitin G, Amari S. Three types of fault coverage in multi-state systems [A]. 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009), 2009 [C]. IEEE, 122–7.

27.

Amari S V, Myers A F, Rauzy A, et al. Imperfect coverage models: status and trends [M]//MISRA K B. Handbook of Performability Engineering. London; Springer. 2008: 321–48.

28.

Bryant R E. Graph-based algorithms for Boolean function manipulation [J]. IEEE Transactions on Computers, 1986, 100 (8): 677–91.

29.

Akers J, Bergman R, Amari S V, et al. Analysis of multi-state systems using multi-valued decision diagrams [A]. Annual Reliability and Maintainability Symposium (RAMS2008), 2008 [C]. Piscataway, NJ: IEEE, 347–53.

30.

Xing L, Dai Y. A new decision-diagram-based method for efficient analysis on multistate systems [J]. IEEE Transactions on Dependable and Secure Computing, 2009, 6 (3): 161–74.

31.

Shrestha A, Xing L, Coit D W. An efficient multistate multivalued decision diagram-based approach for multistate system sensitivity analysis [J]. IEEE Transactions on Reliability, 2010, 59 (3): 581–92.

32.

Amari S V, Xing L, Shrestha A, et al. Performability analysis of multistate computing systems using multivalued decision diagrams [J]. IEEE Transactions on Computers, 2010, 59 (10): 1419–33.

33.

Xing L, Amari S V. Reliability of phased-mission systems [M]//MISRA K B. Handbook of Performability Engineering. Springer. 2008: 349–68.

34.

Lee C-Y. Representation of switching circuits by binary-decision programs [J]. Bell System Technical Journal, 1959, 38 (4): 985–99.

35.

Boute R T. The binary decision machine as programmable controller [J]. Euromicro Newsletter, 1976, 2 (1): 16–22.

36.

Akers S B. Binary decision diagrams [J]. IEEE Transactions on Computers, 1978, 100 (6): 509–16

37.

Burch J R, Clarke E M, Long D E, et al. Symbolic model checking for sequential circuit verification [J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1994, 13 (4): 401–24.

38.

Hermanns H, Meyer-Kayser J, Siegle M. Multi terminal binary decision diagrams to represent and analyse continuous time Markov chains [A]. 3rd Int Workshop on the Numerical Solution of Markov Chains, 1999 [C]. Citeseer, 188–207.

39.

Ciardo G, Lüttgen G, Siminiceanu R. Saturation: An efficient iteration strategy for symbolic state-space generation [A]. Proceedings of the 7th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 2001 [C].Springer-Verlag, 328–42.

40.

Miner A S, Cheng S. Improving efficiency of implicit Markov chain state classification [A]. Proceedings of First International Conference on the Quantitative Evaluation of Systems (QEST 2004), 2004 [C]. IEEE, 262–71.

41.

Miner A S, Ciardo G. Efficient reachability set generation and storage using decision diagrams [A]. International Conference on Application and Theory of Petri Nets, 1999 [C]. Springer-Verlag, 6–25.

42.

Ciardo G. Reachability set generation for Petri nets: Can brute force be smart? [A]. 25th International Conference on Application and Theory of Petri Nets, Bologna, Italy,2004 [C]. Springer, 17–34.

43.

Rauzy A. New algorithms for fault trees analysis [J]. Reliability Engineering & System Safety, 1993, 40 (3): 203–11.

44.

Zang X, Wang D, Sun H, et al. A BDD-based algorithm for analysis of multistate systems with multistate components [J].IEEE Transactions on Computers, 2003, 52 (12): 1608–18.

45.

Rauzy A, Gauthier J, Leduc X. Assessment of large automatically generated fault trees by means of binary decision diagrams [J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2007, 221 (2): 95–105

46.

Myers A F, Rauzy A. Assessment of redundant systems with imperfect coverage by means of binary decision diagrams [J]. Reliability Engineering & System Safety, 2008, 93 (7): 1025–35

47.

Myers A, Rauzy A. Efficient reliability assessment of redundant systems subject to imperfect fault coverage using binary decision diagrams [J]. IEEE Transactions on Reliability, 2008, 57 (2): 336–48.

48.

Shrestha A, Xing L. A logarithmic binary decision diagram-based method for multistate system analysis [J]. IEEE Transactions on Reliability, 2008, 57 (4): 595–606.

49.

Rauzy A. Binary decision diagrams for reliability studies [M]. Handbook of Performability Engineering.Springer. 2008: 381–96.

50.

闵苹, 童节娟, 奚树人. 利用二元决策图求解故障树的基本事件排序 [J]. 清华大学学报 (自然科学版), 2005, 45 (12): 1646–9.

51.

张国军, 朱俊, 吴军, 等. 基于BDD的考虑共因失效的故障树可靠性分析 [J]. 华中科技大学学报 (自然科学版), 2007, 35 (9): 1–4.

52.

陶勇剑, 董德存, 任鹏. 故障树分析的二元决策图方法 [J]. 铁路计算机应用, 2009, 18 (9): 4–7.

53.

胡文军. 故障树向二元决策图的转换算法 [J]. 原子能科学技术, 2010, 44 (3): 289–93.

54.

高巍, 张琴芳. 基于二叉决策图的故障树求解法 [J]. 核技术, 2011, 34 (10): 791–5.

55.

涂序跃. 基于二元决策图的系统可靠性模块分析方法 [J]. 华东交通大学学报, 2010, 27 (5): 53–7.

56.

Peng R, Zhai Q, Xing L, et al. Reliability of demand-based phased-mission systems subject to fault level coverage [J]. Reliability Engineering & System Safety, 2013, 121 18–25.

57.

Mo Y, Xing L, Amari S V. A multiple-valued decision diagram based method for efficient reliability analysis of non-repairable phased-mission systems [J]. IEEE Transaction on Reliability, 2014, 63 (1): 320–30.

58.

Mo Y, Xing L. An enhanced decision diagram-based method for common-cause failure analysis [J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2013, 227 (5): 557–66.

59.

Xing L, Amari S V. Binary Decision Diagrams and Extensions for System Reliability Analysis [M]. John Wiley & Sons, 2015.

Titel: Related Concepts in Reliability Modeling of Warm Standby Systems
verfasst von: Prof. Rui Peng
Dr. Qingqing Zhai
Prof. Jun Yang
Verlag: Springer Singapore
Buch: Reliability Modelling and Optimization of Warm Standby Systems
Print ISBN: 978-981-16-1791-1

Electronic ISBN: 978-981-16-1792-8

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-16-1792-8_2

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht