• DocumentCode
    2343971
  • Title

    Predictive Maintenance Management of Rail Profile in UK Rail

  • Author

    Faiz, R.B. ; Singh, S.

  • Author_Institution
    Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
  • fYear
    2009
  • fDate
    2-4 April 2009
  • Firstpage
    370
  • Lastpage
    375
  • Abstract
    Preventive maintenance finds the commencement of failure and helps them in mitigating them. It can also help in uncovering hidden failures. Preventive maintenance management can be used to determine defects in rail profile and prevent them happening in future. Such system helps in identifying trends for effective and efficient maintenance of rail profile. One such way is an in depth by information analysis of rail profile parameters by regression analysis thus finding a regression model among various parameters of rail profile. Such analysis leads to significant rail track maintenance productivity gains. For effective predictions an efficient regression model is required that minimizes the prediction error. This can be achieved choosing appropriate linear regression model. Such research has the potential to bring benefits in terms of lower operating costs for rail infrastructure users, as well as improved transit times and reliability of train arrivals which results in better maintenance management.
  • Keywords
    preventive maintenance; rails; regression analysis; UK rail profile; information analysis; linear regression model; predictive maintenance management; rail track maintenance productivity; regression analysis; Cameras; Condition monitoring; Costs; Inspection; Magnetic heads; Predictive maintenance; Preventive maintenance; Rails; Railway engineering; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Engineering and Information, 2009. ICC '09. International Conference on
  • Conference_Location
    Fullerton, CA
  • Print_ISBN
    978-0-7695-3538-8
  • Type

    conf

  • DOI
    10.1109/ICC.2009.69
  • Filename
    5328198