• DocumentCode
    1769280
  • Title

    Research on maintenance manner optimization of airborne product based on RCM

  • Author

    Xiao-dan Kang ; Yan-guang Hu

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    579
  • Lastpage
    582
  • Abstract
    More than 90% of the helicopter attachments repair by way of hard-time maintenance, which brings great inconvenience and huge material consumption to the user. In this paper, the mathematical models are established by analyzing the factors affecting repair decision-making from reliability, maintainability and efficiency perspective and adopting the method of FMEA combined with an improved logic decision graph, which determine the maintenance manner and the maintenance interval under different maintenance modes. By improving the maintenance manner and determining the maintenance interval under different maintenance modes, the goal of this thesis is to effectively change the improper maintenance and salve the problems of high cost and low availability. Then, the optimized maintenance manner, based on the proposed optimization model, effectively determines airborne products maintenance methods and maintenance interval for a type of helicopter, which has shown the validity and applicability of the decision mode and method.
  • Keywords
    graph theory; helicopters; maintenance engineering; optimisation; reliability; FMEA method; RCM; airborne product maintenance manner optimization; helicopter attachments; logic decision graph; maintainability; mathematical models; reliability; repair decision-making; Atmospheric modeling; Biological system modeling; Maintenance engineering; Mathematical model; Optimization; Reliability engineering; Airborne Product; Logic decision graph; Maintenance decision; RCM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988238
  • Filename
    6988238