Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 674804, 9 pages
http://dx.doi.org/10.1155/2014/674804
Research Article

Reliability Evaluation of Data Communication System Based on Dynamic Fault Tree under Epistemic Uncertainty

School of Information Engineering, Nanchang University, Nanchang 330031, China

Received 16 March 2014; Accepted 12 May 2014; Published 27 May 2014

Academic Editor: Xiangyu Meng

Copyright © 2014 Rongxing Duan and Jinghui Fan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. H. Purba, J. Lu, G. Zhang, and D. Ruan, “Failure possibilities for nuclear safety assessment by fault tree analysis,” International Journal of Nuclear Knowledge Management, vol. 5, no. 2, pp. 162–177, 2011. View at Google Scholar
  2. R. Ferdous, F. Khan, R. Sadiq, P. Amyotte, and B. Veitch, “Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations,” Risk Analysis, vol. 31, no. 1, pp. 86–107, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. E. Jafarian and M. A. Rezvani, “Application of fuzzy fault tree analysis for evaluation of railway safety risks: an evaluation of root causes for passenger train derailment,” Proceedings of the Institution of Mechanical Engineers F: Journal of Rail and Rapid Transit, vol. 226, no. 1, pp. 14–25, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Verma, A. Kumar, and Y. Singh, “Fuzzy fault tree approach for analysing the fuzzy reliability of a gas power plant,” International Journal of Reliability and Safety, vol. 6, no. 4, pp. 354–371, 2012. View at Google Scholar
  5. J. B. Dugan, S. J. Bavuso, and M. A. Boyd, “Dynamic fault-tree models for fault-tolerant computer systems,” IEEE Transactions on Reliability, vol. 41, no. 3, pp. 363–377, 1992. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Meshkat, J. B. Dugan, and J. D. Andrews, “Dependability analysis of systems with on-demand and active failure modes, using dynamic fault trees,” IEEE Transactions on Reliability, vol. 51, no. 2, pp. 240–251, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. Y.-F. Li, H.-Z. Huang, Y. Liu, N. Xiao, and H. Li, “A new fault tree analysis method: fuzzy dynamic fault tree analysis,” Eksploatacja i Niezawodnosc, vol. 14, no. 3, pp. 208–214, 2012. View at Google Scholar · View at Scopus
  8. H. Boudali and J. B. Dugan, “A discrete-time Bayesian network reliability modeling and analysis framework,” Reliability Engineering and System Safety, vol. 87, no. 3, pp. 337–349, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. Y.-F. Li, J. Mi, H.-Z. Huang, N.-C. Xiao, and S.-P. Zhu, “System reliability modeling and assessment for solar array drive assembly based on bayesian networks,” Eksploatacja i Niezawodnosc, vol. 15, no. 2, pp. 117–122, 2013. View at Google Scholar · View at Scopus
  10. N. Khakzad, F. Khan, and P. Amyotte, “Risk-based design of process systems using discrete-time Bayesian networks,” Reliability Engineering and System Safety, vol. 109, pp. 5–17, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Montani, L. Portinale, A. Bobbio, and D. Codetta-Raiteri, “Radyban: a tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks,” Reliability Engineering and System Safety, vol. 93, no. 7, pp. 922–932, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. D. Huang, T. Chen, and M.-J. J. Wang, “A fuzzy set approach for event tree analysis,” Fuzzy Sets and Systems, vol. 118, no. 1, pp. 153–165, 2001. View at Publisher · View at Google Scholar · View at Scopus
  13. J. H. Purba, J. Lu, G. Zhang, and D. Ruan, “An area defuzzification technique to assess nuclear event reliability data from failure possibilities,” International Journal of Computational Intelligence and Applications, vol. 11, no. 4, pp. 1–16, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Onisawa, “An approach to human reliability in man-machine systems using error possibility,” Fuzzy Sets and Systems, vol. 27, no. 2, pp. 87–103, 1988. View at Google Scholar · View at Scopus
  15. A. Bobbio, L. Portinale, M. Minichino, and E. Ciancamerla, “Improving the analysis of dependable systems by mapping Fault Trees into Bayesian Networks,” Reliability Engineering and System Safety, vol. 71, no. 3, pp. 249–260, 2001. View at Publisher · View at Google Scholar · View at Scopus
  16. K. Wojtek Przytula and R. Milford, “An efficient framework for the conversion of fault trees to diagnostic bayesian network models,” in Proceedings of IEEE Aerospace Conference, pp. 1–14, March 2006. View at Scopus
  17. T. Yuge and S. Yanagi, “Dynamic fault tree analysis using bayesian networks and sequence probabilities,” IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, vol. 96, no. 5, pp. 953–962, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. Y. Lu, Q. Li, and Z. Zhou, “Safety risk prediction of subway operation based on fuzzy Bayesian network,” Journal of Southeast University, vol. 40, no. 5, pp. 1110–1114, 2010. View at Google Scholar · View at Scopus