Smart Structures and Systems

  • 제29권6호
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  • Pages.791-797
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  • 2022
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Hierarchical fault propagation of command and control system

  • Zhang, Tingyu (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China) ;
  • Huang, Hong-Zhong (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China) ;
  • Li, Yifan (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China) ;
  • Huang, Sizhe (Wuhan Digital Engineering Research Institute) ;
  • Li, Yahua (Wuhan Digital Engineering Research Institute)
  • 투고 : 2021.10.31
  • 심사 : 2022.03.29
  • 발행 : 2022.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

A complex system is comprised of numerous entities containing physical components, devices and hardware, events or phenomena, and subsystems, there are intricate interactions among these entities. To reasonably identify the critical fault propagation paths, a system fault propagation model is essential based on the system failure mechanism and failure data. To establish an appropriate mathematical model for the complex system, these entities and their complicated relations must be represented objectively and reasonably based on the structure. Taking a command and control system as an example, this paper proposes a hierarchical fault propagation analysis method, analyzes and determines the edge betweenness ranking model and the importance degree of each sub-system.

키워드

과제정보

This research was funded by the National Natural Science Foundation of China under contract No. 51775090.

참고문헌

  1. Bai, S., Li, Y.F., Huang, H.Z., Yu, A.D. and Zeng, Y. (2021), "An improved petri net for fault analysis of an electronic system with hybrid fault of software and hardware", Eng. Fail. Anal., 120, 120105077. https://doi.org/10.1016/j.engfailanal.2020.105077.
  2. Bavelas, A.A. (1948), "A mathematical model of group structures", Human Organiz., 7(3), 16-30. http://doi.org/10.17730/humo.7.3.f4033344851gl053.
  3. Dangalchev, C. (2006), "Residual closeness in networks", Mech. Appl., 365(2), 556-564. https://doi.org/10.1016/j.physa.2005.12.020.
  4. Fang, A.L., Gao, Q.S. and Zhang, S.Y. (2009), "Application of networked DEMATEL method in industry economic system analysis", Math. Pract. Theory, 39(5), 78-83.
  5. Freeman, L.C. (1977), "A set of measures of centrality based on betweenness", Sociometry, 40(1), 35-41. http://doi.org/10.2307/3033543.
  6. Jensen, F. (2007), "Bayesian networks and decision graphs", Technom., 45(2), 178-179. https://doi.org/10.1007/978-1-4757-3502-4.
  7. Kolda, T., Pinar, A., Plantenga, T. and Seshadhri, C. (2014), "A scalable generative graph model with community structure", SIAM J. Scientif. Comput., 36(5), 424-452. http://doi.org/10.1137/130914218.
  8. Lee, H.S., Tzeng, G.H., Yeih, W., Wang, Y.J. and Yang, S.C. (2013), "Revised DEMATEL: Resolving the infeasibility of DEMATEL", Appl. Math. Model., 37(10-11), 6746-6757. https://doi.org/10.1016/j.apm.2013.01.016.
  9. Levis, A.H. and Wagenhals, L.W. (2015), "C4ISR architectures: I. Developing a process for C4ISR architecture design", Syst. Eng., 3(4), 225-247. https://doi.org/10.1002/1520-6858(2000)3:4<225::AID-SYS4>3.0.CO;2-%23.
  10. Li, P.X., Ren, Y.Q. and Xi, Y.M. (2004), "An importance measure of actors (set) within a network", Syst. Eng., 22(4), 13-20. https://doi.org/10.3969/j.issn.1001-4098.2004.04.003
  11. Li, Y.F., Huang, H.Z., Mi, J., Peng, W. and Han, X. (2022), "Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability", Ann. Oper. Res., 311(1), 195-209. https://doi.org/10.1007/s10479-019-03247-6.
  12. Li, Y.F., Liu, Y., Huang, T., Huang, H.Z. and Mi, J. (2020), "Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model", Qual. Reliab. Eng. Int., 36(7), 2509-2520. https://doi.org/10.1002/qre.2713.
  13. Lin, C.L. and Tzeng, G.H. (2009), "A value-created system of science (technology) park by using DEMATEL", Exp. Syst. Appl., 36(6), 9683-9697. https://doi.org/10.1016/j.eswa.2008.11.040.
  14. Mandal, A. and Deshmukh, S.G. (1994), "Vendor selection using interpretive structural modelling (ISM)", Int. J. Oper. Prod. Manage., 14(6), 52-59. http://doi.org/10.1108/01443579410062086.
  15. Murata, T. (1989), "Petri nets: Properties, analysis and applications", Proc. IEEE, 77, 541-580. http://doi.org/10.1109/5.24143.
  16. Nakano, H. and Nakanishi, Y. (1974), "Graph representation and diagnosis for multiunit faults", IEEE Trans. Reliab., 23(5), 320-325. http://doi.org/10.1109/TR.1974.5215295.
  17. Restrepo, J.G., Ott, E. and Hunt, B.R. (2006), "Characterizing the dynamical importance of network nodes and links", Phys. Rev. Lett., 97(9), 094102. https://doi.org/10.1103/physrevlett.97.094102.
  18. Sajid, Z., Khan, F. and Zhang, Y. (2017), "Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis", Renew. Energy, 107, 194-203. https://doi.org/10.1016/j.renene.2017.01.058.
  19. Seyed-Hosseini, S.M. and Safaei, N. (2006), "Asgharpour, reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique", Reliab. Eng. Syst. Saf., 91(8), 872-881, https://doi.org/10.1016/j.ress.2005.09.005.
  20. Shaw, M.E. (1954), "Group structure and the behavior of individuals in small groups", J. Psychol., 38(1), 139-149. http://doi.org/10.1080/00223980.1954.9712925.
  21. Shen, G.X., Sun, S.G. and Zhang, Y.Z. (2014), "System failure analysis based on DEMATEL-ISM and FMECA", J. Central South Univ., 21(12), 4518-4525. http://doi.org/10.1007/s11771-014-2456-8.
  22. Shimbel, A. (1953), "Structural parameters of communication networks", Bull. Math. Biophys., 15(4), 501-507. http://doi.org/10.1007/BF02476438.
  23. Song, W., Ming, X. and Liu, H.C. (2016), "Identifying critical risk factors of sustainable supply chain management: A rough strength-relation analysis method", J. Clean. Prod., 143, 100-115. https://doi.org/10.1016/j.jclepro.2016.12.145.
  24. Tan, Y.J., Wu, J. and Deng, H.Z. (2006), "Evaluation method for node importance based on node contraction in complex networks", Syst. Eng., 26(11), 79-83.
  25. Tarifa, E.E. and Nicolas, J. (1997), "Fault diagnosis, direct graphs, and fuzzy logic", Comput. Chem. Eng., 21, 649-654. https://doi.org/10.1016/S0098-1354(97)87576-X.
  26. Wu, W.W. and Lee, Y.T. (2007), "Developing global managers competencies using the fuzzy DEMATEL method", Exp. Syst. Appl., 32(2), 499-507. https://doi.org/10.1016/j.eswa.2005.12.005.
  27. Zhou, D.Q., Zhang, L. and Li, H.W. (2006), "A study of the system's hierarchical structure through integration of dematel and ISM", Int. Conf. Mach. Learn. Cybernet. IEEE, 77(1), 1449-1453, https://doi.org/10.1109/ICMLC.2006.258757.
  28. Zuleta, L., Madrigal, G.Z. and Carranza, D. (2007), "Hybrid system based on fuzzy inference and colored petri nets to identify electrical fault events in real time", Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007), September.