• DocumentCode
    696018
  • Title

    Review of prognostic problem in condition-based maintenance

  • Author

    Dragomir, Otilia Elena ; Gouriveau, Rafael ; Dragomir, Florin ; Minca, Eugenia ; Zerhouni, Noureddine

  • Author_Institution
    Autom. & Inf. Dept., Valahia Univ. of Targoviste, Targoviste, Romania
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    1587
  • Lastpage
    1592
  • Abstract
    Prognostic is nowadays recognized as a key feature in maintenance strategies as it should allow avoiding inopportune maintenance spending. Real prognostic systems are however scarce in industry. That can be explained from different aspects, on of them being the difficulty of choosing an efficient technology: many approaches to support the prognostic process exist, whose applicability is highly dependent on industrial constraints. Thus, the general purpose of the paper is to explore the way of performing failure prognostics so that manager can act consequently. Different aspects of prognostic are discussed. The prognostic process is (re)defined and an overview of prognostic metrics is given. Following that, the “prognostic approaches” are described. The whole aims at giving an overview of the prognostic area, both from the academic and industrial points of views.
  • Keywords
    condition monitoring; maintenance engineering; condition-based maintenance; failure prognostics; industrial constraints; inopportune maintenance spending; maintenance strategies; prognostic problem; Accuracy; Autoregressive processes; Degradation; Hidden Markov models; Maintenance engineering; Mathematical model; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7074633