• DocumentCode
    3732841
  • Title

    Using oil quality indicators as system technical life characteristics and maintenance optimizers

  • Author

    D. Valis;L. Zak;J. Chaloupka

  • Author_Institution
    Department of Combat and Special Vehicles, University of Defence, Brno, Czech Republic
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Using the information from oil which is a part of a technical system has been presented a couple of times. The results introduced so far usually dealt with wear metals which get into the oil. However, this paper is based on a different approach. We have assessed Anti-Oxidant and Anti-Wear Particles (AOWP) - oil quality is primarily determined by these particles. These particles are additives in the oil and their amount depends both on operating time and calendar time. In this paper we introduce some mathematical approaches used assess how the number of these particles affects residual useful life (RUL) and maintenance optimizing.
  • Keywords
    "Maintenance engineering","Mathematical model","Vehicles","Regression analysis","Additives","Fuzzy logic","Trajectory"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2015.7385596
  • Filename
    7385596