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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 187362, 7 pages
http://dx.doi.org/10.1155/2014/187362
Research Article

New Computing Technology in Reliability Engineering

Technical University of Ostrava, 17. Listopadu 15/2172, Poruba, 708 33 Ostrava, Czech Republic

Received 6 November 2014; Accepted 11 December 2014; Published 25 December 2014

Academic Editor: Yuji Liu

Copyright © 2014 Radim Briš and Simona Domesová. 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. E. Zio, “Reliability engineering: old problems and new challenges,” Reliability Engineering & System Safety, vol. 94, no. 2, pp. 125–141, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. R. Briš, “Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph,” Reliability Engineering & System Safety, vol. 93, no. 6, pp. 874–884, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. A. Zdráhala and R. Briš, “Generalized test-cases for dynamic reliability: a Monte Carlo approach,” in MENDEL 2011—17th International Conference on Soft Computing; Proc. Intern. Conf . 326–333, Brno, 2011, R. Matoušek, Ed., Faculty of Mechanical Engineering, University of Technology, Brno, Czech Republic, 1st edition, 2011. View at Google Scholar
  4. R. Y. Rubinstein and D. P. Kroese, Simulation and the Monte Carlo Method, John Wiley & Sons, New York, NY, USA, 2008.
  5. P. Labeau and E. Zio, “Biasing schemes in component-based and system-based Monte Carlo algorithms in system engineering,” in Proceedings of the ESREL European Safety and Reliability Conference, pp. 903–910, Torino, Italy, September 2001.
  6. G. S. Fishman, Monte Carlo, Concepts, Algorithms, and Applications, Springer Series in Operations Research, Springer, New York, NY, USA, 1996. View at Publisher · View at Google Scholar · View at MathSciNet
  7. D. Perez, R. Garnier, M. Chevalier, and J. P. Signoret, “A comprehensive method to speed up generalised stochastic Petri net Monte Carlo simulation for non-Markovian systems,” in Proceedings of the European Safety and Reliability Conference—Probabilistic Safety Assessment & Management Conference (ESREL—PSAM III '96), vol. 3, pp. 1941–1946, Crete, Greece, June 1996.
  8. J.-P. Signoret, Y. Dutuit, P.-J. Cacheux, C. Folleau, S. Collas, and P. Thomas, “Make your Petri nets understandable: reliability block diagrams driven Petri nets,” Reliability Engineering and System Safety, vol. 113, no. 1, pp. 61–75, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Mochizuki, Y. Hayashi, N. Oda, K. Takeuchi, and K. Takeda, “Technology for high reliability system LSIs,” NEC Technical Journal, vol. 1, no. 3, pp. 55–59, 2006. View at Google Scholar · View at Scopus
  10. A. Dubi, Monte Carlo Applications in Systems Engineering, John Wiley & Sons, New York, NY, USA, 2000.
  11. M. Rausand and A. Hoyland, System Reliability Theory, John Wiley & Sons, Hoboken, NJ, USA, 2nd edition, 2004.