• DocumentCode
    3202117
  • Title

    Apply grey relational grade in optimal airplane landing gear loads calibration

  • Author

    Wang, Jee-Ray ; Jau, Jung-Shian ; Lee, Jiam-Hwa ; Chang, Hung-Chih

  • Author_Institution
    Dept. of Autom. Eng., Chienkuo Technol. Univ., Changhua
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    296
  • Lastpage
    300
  • Abstract
    Airplane landing gear loads are hard to be obtained by utilizing theoretical method. Therefore, flight measurement is a good alternative in engineering. Before the flight measurement takes place, ground calibration test is required to obtain the relationship between the structural strain and load. This relationship will be used during flight measurement to transform strain data into load. Traditionally, we use regression analysis method to build this relationship with minimum error. In this paper, we present the grey relational grade to cardinal strain sensor test data. This cardinal can be used to select the representative parameters and construct a good ldquostrain-loadrdquo equation, also, a Matlab toolbox is established to effectively generate this study.
  • Keywords
    aircraft; aircraft landing guidance; gears; strain sensors; Matlab toolbox; apply grey relational grade; cardinal strain sensor test data; flight measurement; minimum error; optimal airplane landing gear loads calibration; regression analysis method; strain-load equation; Aerospace engineering; Airplanes; Calibration; Capacitive sensors; Equations; Gears; Regression analysis; Strain measurement; Testing; Transforms; Analytic hierarchy process; Grey relational analysis; Ground calibration test; Landing gear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1355-3
  • Electronic_ISBN
    978-1-4244-1356-0
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658394
  • Filename
    4658394