• DocumentCode
    3442850
  • Title

    Notice of Retraction
    A similarity-based remaining useful life prognostic approach of equipment components

  • Author

    Cong-Ying Lei ; Liang-Hua Xia ; Bo Wu ; Gang Liu

  • Author_Institution
    Dept. of Manage. Eng., Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    1874
  • Lastpage
    1877
  • 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.

    Remaining useful life (RUL) estimation is an important part in modern prognostic and health management (PHM) approach. In this paper, a particular prognostic named similarity-based RUL estimation is proposed. In some complex condition, typical methods will perform inefficient, and in engineering application background, some traditional methods may be hard implemented. On the other hand, similarity-based RUL estimation approach performs well in thus condition. The basic conception was introduced in the first part and detailed methodology was given in the second part. In this part, a type of Euclidean function was used as similarity-calculation function. In the third part, a case study was conducted to validate the accuracy of the similarity-based prognostic method.
  • Keywords
    health care; remaining life assessment; Euclidean function; PHM; RUL estimation; equipment components; health management approach; remaining useful life prognostic approach; similarity-based prognostic method; Accuracy; Degradation; Estimation; Maintenance engineering; Prognostics and health management; Reliability engineering; PHM; RUL; condition-based maintenance; similarity-based;
  • 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.2013.6625944
  • Filename
    6625944