• DocumentCode
    2320217
  • Title

    Research on prognostic health management (PHM) model for fighter planes based on flight data

  • Author

    Wang, Jianrong ; Yu, Tianbiao ; Wang, Wanshan

  • Author_Institution
    Sch. of Mech. Eng.&Autom., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    773
  • Lastpage
    777
  • Abstract
    Flight data records many important state parameters, which will be useful to process monitoring and fault diagnosis of fighter planes. Aiming at the problems of backward data processing means, poor analytical facilities and limited range of application in the maintenance of aircraft, this paper proposes a PHM model for fighter planes based on flight data. Architecture of the PHM system contains onboard data acquisition subsystem and ground-based data processing subsystem. Based on the onboard data acquisition subsystem, function model of ground-based data processing subsystem was analyzed and the ground-based data processing subsystem was designed in detail from software to hardware. Some key technologies such as data pretreatment, tendency analysis, fault forecasting, state monitoring and decision consulting are depicted and specific methods of realization are given concretely.
  • Keywords
    aircraft maintenance; data acquisition; fault diagnosis; military aircraft; military computing; aircraft maintenance; backward data processing; data pretreatment; decision consulting; fault diagnosis; fault forecasting; fighter planes; flight data; ground-based data processing subsystem; onboard data acquisition subsystem; process monitoring; prognostic health management; state monitoring; tendency analysis; Computer architecture; Condition monitoring; Data acquisition; Data analysis; Data processing; Fault diagnosis; Hardware; Military aircraft; Process design; Prognostics and health management; AR(n) Model; Fault Diagnosis; Flight Data; Trend Analysis Nomenclature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580399
  • Filename
    4580399