• DocumentCode
    3442096
  • Title

    Notice of Retraction
    Prognostic theory and key techniques of aircraft hydraulic system

  • Author

    Kang Wang ; Shaoping Wang ; Zhaomin He ; Lei Han

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    1702
  • Lastpage
    1706
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    The target of this paper is to develop a novel analysis, design and evaluation theory for aircraft hydraulic prognostic and health management system. The main points in this project are to explore failure generation and growth mechanism, and to discover the value of fault feature contributing to system health. A novel aircraft hydraulic system residual life prediction combining field fight data together with infield life evaluation is proposed firstly in this project. Furthermore, this project attempts to solve the difficulties in failure development mechanism, multivariable-fused failure prognostic, and field data dynamically iterated residual life prediction. The research results of this project will serve China large aircraft development plan, and guide aircraft hydraulic system residual life evaluation in future.
  • Keywords
    aircraft; condition monitoring; failure analysis; fault diagnosis; hydraulic systems; iterative methods; China aircraft development plan; aircraft hydraulic system; dynamic iterated residual life prediction; evaluation theory; failure development mechanism; failure generation; fault feature; field fight data; growth mechanism; infield life evaluation; multivariable-fused failure prognostic; prognostic theory; prognostic-health management system; Aircraft; Feature extraction; Hydraulic systems; Maintenance engineering; Prognostics and health management; Vibrations; data driven; failure physic; health evaluation; integrated prognostics; residual life;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625904
  • Filename
    6625904