• DocumentCode
    3576740
  • Title

    Estimation of system residual useful life based on selected tribo data

  • Author

    Valis, D. ; Pokora, O.

  • Author_Institution
    Dept. of Combat & Special Vehicles, Univ. of Defence, Brno, Czech Republic
  • fYear
    2014
  • Firstpage
    1171
  • Lastpage
    1175
  • Abstract
    The aim of the article is to estimate a system residual technical life. When estimating a residual technical life statistically, a big amount of tribo-diagnostic data is used. Data includes the information about particles contained in oil which testify to oil condition as well as system condition. We focus on the particles which we consider to be interesting. They are Ferrum (Fe) and Lead (Pb). By modelling the occurrence of particles in oil we expect to determine the adequate moment to perform preventive maintenance and the length of residual system useful life. The way of modelling is based on the specific characteristics of diffusion processes, namely the Ornstein-Uhlenbeck process. Following the modelling results we could set the principles of "CBM - Condition Based Maintenance". However, the possibilities are much wider, since we can also plan operation, mission and reduce life cost.
  • Keywords
    condition monitoring; cost reduction; iron; lead; oils; preventive maintenance; remaining life assessment; tribology; CBM; Ornstein-Uhlenbeck process; condition based maintenance; diffusion process; ferrum; lead; life cost reduction; oil condition; preventive maintenance; residual system useful life; system condition; system residual technical life; system residual useful life; tribo data; tribo-diagnostic data; Analytical models; Data models; Iron; Lead; Maintenance engineering; Mathematical model; Reliability; Field data assessment; first hitting time; maintenance optimization; off-line diagnostics; residual life;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058823
  • Filename
    7058823