• DocumentCode
    2471149
  • Title

    Aircraft fault diagnosis prognostics and health management based on flight recorder

  • Author

    Hu, Chaojiang

  • Author_Institution
    Beijing Aeronaut. Technol. Res. Center, Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A flight recorder is very important onboard flight safety equipment, ant it plays a very important role in aircraft fault diagnosis prognostics and health management(AFDPAHM). It is thought that there are three methods when a flight recorder is applied in AFDPAHM after the composition and characteristics of flight reorder information have been studied: the first is analytical redundancy ones, the second is parameter trend forecasting ones, and the third is fault tree ones etc. The application of the three methods in AFDPAHM has been discussed in detail in this paper. These three methods have their advantages and disadvantages respectively. When the mathematical model of a subsystem or device is easy to be set up, the analytical redundancy method can be applied. When the failure mechanism of the subsystem or device is very complicated and it is very difficult to set up its mathematical model, the parameter trend predication can be used. When the logic relationship of internal structure of the subsystem or device is very clear and the failure probability of every component can be obtained, then the fault tree method is available.
  • Keywords
    aerospace safety; aircraft; condition monitoring; fault diagnosis; fault trees; mathematical analysis; probability; AFDPAHM; aircraft fault diagnosis prognostic and health management; analytical redundancy method; failure mechanism; failure probability; fault tree method; flight reorder information; mathematical model; onboard flight safety equipment; parameter trend forecasting; analytical redundancy; fault tree; flight recorder; parameter trend predication;
  • 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.2012.6228934
  • Filename
    6228934