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The Scientific World Journal
Volume 2014, Article ID 430190, 8 pages
Research Article

An Optimization Method for Condition Based Maintenance of Aircraft Fleet Considering Prognostics Uncertainty

1School of Reliability and Systems Engineering, Beihang University, Beijing, China
2Sichuan jiuzhou Aerocont Technologies Co. Ltd., Mianyang, China

Received 28 February 2014; Accepted 19 March 2014; Published 17 April 2014

Academic Editors: N. Barsoum, V. N. Dieu, P. Vasant, and G.-W. Weber

Copyright © 2014 Qiang Feng et al. 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Qiang Feng, Xiong Bi, Xiujie Zhao, Yiran Chen, and Bo Sun, “Heuristic Hybrid Game Approach for Fleet Condition-Based Maintenance Planning,” Reliability Engineering & System Safety, 2016. View at Publisher · View at Google Scholar
  • Xavier Desforges, Mickaël Diévart, and Bernard Archimède, “A prognostic function for complex systems to support production and maintenance co-operative planning based on an extension of object oriented Bayesian networks,” Computers in Industry, vol. 86, pp. 34–51, 2017. View at Publisher · View at Google Scholar
  • Qiang Feng, Wenjing Bi, Bo Sun, Xiong Bi, and Yi Ren, “A condition-based maintenance optimization method for multi-phased aircraft fleet oriented to the mission success,” Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016, 2017. View at Publisher · View at Google Scholar
  • Esteban Le Maitre González, Xavier Desforges, and Bernard Archimède, “Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognoses,” Reliability Engineering & System Safety, 2018. View at Publisher · View at Google Scholar