• DocumentCode
    2176914
  • Title

    A predictive maintenance policy based on the blade of offshore wind turbine

  • Author

    Wenjin Zhu ; Fouladirad, M. ; Berenguer, C.

  • Author_Institution
    Lab. of Modelling & Syst. Safety, Univ. of Technol. of Troyes, Troyes, France
  • fYear
    2013
  • fDate
    28-31 Jan. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Based on the modeling of the deterioration of a blade due to the intrinsic randomness, random shock, random load and dynamic environment, this paper proposes a predictive maintenance policy considering the leading time caused by preparing the maintenance action. The evaluation of the proposed maintenance policy is realized by Monte-Carlo simulation and the minimal average long-run maintenance cost per unit time is obtained. The numerical simulations prove that the proposed policy can reduce the downtime caused by failure or leading time.
  • Keywords
    Monte Carlo methods; blades; costing; maintenance engineering; numerical analysis; wind turbines; Monte Carlo simulation; blade deterioration; dynamic environment; intrinsic randomness; maintenance action; minimal average long-run maintenance cost; numerical simulation; offshore wind turbine blade; predictive maintenance policy; random load; random shock; Blades; Electric shock; Inspection; Load modeling; Maintenance engineering; Monitoring; Wind turbines; Paris-Erdogan law; Predictive maintenance; monitoring; rotor blade; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual
  • Conference_Location
    Orlando, FL
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4673-4709-9
  • Type

    conf

  • DOI
    10.1109/RAMS.2013.6517637
  • Filename
    6517637