• DocumentCode
    724220
  • Title

    PCA-based sensor fault diagnosis for aero-engine

  • Author

    Zhen Zhao ; Yi-gang Sun ; Jun Zhang

  • Author_Institution
    Coll. of Aerosp. Autom., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2679
  • Lastpage
    2683
  • Abstract
    Safety and security of civil aircraft have attracted more and more attention in modern society, especially aero-engine, which is the heart of an aircraft. In this paper, principle component analysis method is introduced to diagnose sensor fault for an aero-engine. In on-line diagnosis stage, the off-line model is utilized to diagnosis offset sensor fault, drift sensor fault and pulse sensor fault. Simulation results illustrate that the PCA-based sensors fault diagnosis method is feasible and effective for aero-engines.
  • Keywords
    aerospace engines; air safety; fault diagnosis; principal component analysis; security; sensors; PCA-based sensor fault diagnosis; aero-engine; civil aircraft safety; civil aircraft security; drift sensor fault diagnosis; offline model; offset sensor fault diagnosis; online diagnosis stage; principal component analysis method; pulse sensor fault; Aircraft; Fault detection; Fault diagnosis; Histograms; Matrix decomposition; Time measurement; Turbines; Aero-engine; Fault diagnosis; PCA; Sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162385
  • Filename
    7162385