• DocumentCode
    3436451
  • Title

    Notice of Retraction
    Study in evaluating armored vehicle engine operating condition based on AHP-gray relating analysis

  • Author

    Hui-Qi Zhang ; Chun-Liang Chen ; Zhan-Dong Bi ; Jian Yao

  • Author_Institution
    Acad. of Armored Force Eng., Beijing, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    391
  • Lastpage
    394
  • 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.

    In order to forecast the using life of armored vehicle engine synthetically, the index system of armored vehicle engine using influence factors is established and optimized by means of the relativity analysis method, while the weightiness values of the indexes are calculated. An AHP-gray relating analysis is proposed and applied to evaluate the operating condition of the armored vehicle engine, so that the engine operating condition correctional coefficient is calculated. And some conclusions are given.
  • Keywords
    analytic hierarchy process; condition monitoring; engines; grey systems; life testing; military vehicles; AHP-gray relating analysis; armored vehicle engine operating condition evaluation; operating condition correctional coefficient; useful life forecasting; Coherence; Engines; Indexes; Maintenance engineering; Standards; Temperature; Vehicles; AHP-gray relating analysis; armored vehicle engine; operating condition; weightiness;
  • 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.2013.6625609
  • Filename
    6625609