• DocumentCode
    1976406
  • Title

    Prediction of the aircraft fault maintenance sorties based on least squares of linear regression

  • Author

    Wei, Luo

  • Author_Institution
    Coll. of Comput. Sci. & Commun. Eng., Gui Zhou Univ., Guiyang, China
  • Volume
    2
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    223
  • Lastpage
    225
  • Abstract
    This paper presents a prediction model applicable to aircraft fault maintenance sorties forecast of airlines, discusses detailedly the determine of various forecast parameters, and through the long-term contrast with the actual data, to prove the validity and accuracy of the prediction model for predicting. It has a positive meaning for saving the airline ground handling maintenance costs, and even to promote the implementation of this prediction model in the entire industry.
  • Keywords
    aerospace industry; aircraft; cost reduction; fault tolerance; forecasting theory; least squares approximations; maintenance engineering; prediction theory; regression analysis; aircraft fault maintenance sorties prediction; airline ground handling maintenance cost; cost savings; forecast parameter; least squares; linear regression; prediction model; Aircraft; Atmospheric modeling; Data models; Equations; Maintenance engineering; Mathematical model; Predictive models; LSE; least squares; linear regression; maintenance sorties forecasts; regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0914-1
  • Type

    conf

  • DOI
    10.1109/ICSSEM.2012.6340849
  • Filename
    6340849