• DocumentCode
    2471230
  • Title

    Research of aircraft SHP method based on changed loading spectrum

  • Author

    Chen, Qinfeng ; Ma, Xiaobing

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The structure of aircraft is complex, it will be affected by the aerodynamic loads and the role of maneuver overload when it was in using, thereby, it will result in a number of hidden danger relating to structural failure, and causing huge casualties and property losses at last. Therefore, this paper presents the use of time series analysis methods to dispose and analyze the load-time history data of aircraft obtained from SHM system, establishing an ARMA time series model and use this model to make a prediction of the change of the load during a certain time, then removal and re-handling the non-peak value point of the measured and predicted load-time history data, and establishing the load spectrum of the corresponding time region. Through the preparation of the changed load spectrum, using the improved rain flow counting method and linear cumulative damage criteria of Miner to estimate the key parts´ fatigue life of the aircraft, finally, achieving structure health prognostic of the aircraft.
  • Keywords
    aerodynamics; aircraft; autoregressive moving average processes; condition monitoring; failure (mechanical); fatigue; structural engineering; time series; ARMA time series model; SHM system; aerodynamic loads; aircraft SHP method; aircraft structure; changed loading spectrum; fatigue life; linear cumulative damage criteria; rain flow counting method; structural failure; structure health monitoring; structure health prognostic; time series analysis; Atmospheric modeling; Fitting; Fluid flow measurement; Load modeling; Materials; Rain; SHP; aircraft; cumulative damage; fatigue fracture; loading spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228938
  • Filename
    6228938