• DocumentCode
    2683050
  • Title

    Research on FFOP prediction approach of a pulse generator based on Homogeneous Poisson process

  • Author

    Wu, Weiwei ; Ma, Jiming ; Liu, Linlin

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    12-15 June 2011
  • Firstpage
    334
  • Lastpage
    338
  • Abstract
    During the failure free operating period (FFOP), products have ZERO FAILURE and not unscheduled maintenance. Comparing with the traditional reliability measurement of mean time between failures (MTBF), the concept of FFOP abandons the hypothesis of random failure. Firstly, the essential features of FFOP are expounded; then a powerful equation is derived for setting quantitative reliability requirements based on FFOP. The equation is applied to the case where failure is triggered because of clustering of two or more failures following a Homogeneous Poisson process. Furthermore, the equation is used to predict the FFOP of the wireless pulse generator, which is a critical equipment of drilling platform and requires a continuous FFOP. Finally, the prediction result through the proposed method is compared with the result through Monte Carlo method and both results are close, which shows that the developed method is practical in engineering.
  • Keywords
    Monte Carlo methods; drilling; failure analysis; maintenance engineering; pulse generators; reliability; stochastic processes; FFOP prediction approach; Monte Carlo method; drilling platform; failure free operating period; homogeneous Poisson process; mean time between failures; pulse generator; reliability measurement; wireless pulse generator; zero failure; Equations; Fluids; Maintenance engineering; Mathematical model; Pulse generation; Reliability engineering; FFOP; Homogeneous Poisson process; MFOP; pulse generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-61284-667-5
  • Type

    conf

  • DOI
    10.1109/ICRMS.2011.5979286
  • Filename
    5979286