• DocumentCode
    2078946
  • Title

    Estimation of rail irregularities

  • Author

    Kawasaki, Junji ; Youcef-Toumi, Kamal

  • Author_Institution
    Dept. of Mech. Eng., MIT, Cambridge, MA, USA
  • Volume
    5
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3650
  • Abstract
    Inspection cars that have been used to measure rail irregularities are costly and need operators. In this paper, a method to estimate rail irregularities by measuring accelerations of a passenger car instead of direct measurement by using a conventional inspection car is proposed. Using a System Identification technique and data obtained by simulations based on a three-dimensional rail vehicle model with rail irregularities, the proposed method identifies an inverse system where inputs are accelerations of a vehicle and outputs are rail irregularities. The quality of the estimation is evaluated quantitatively by using the Mean Square Error. The effects due to two major uncertainties, mass variations and speed variations, are evaluated by using the Singular Value Decomposition in order to present the limitations of the estimation using a nominal model.
  • Keywords
    identification; inspection; maintenance engineering; rail traffic; railways; singular value decomposition; Inspection cars; estimation; inverse system; maintenance; passenger car; rail irregularities; rail vehicle model; system identification; uncertainties; Acceleration; Accelerometers; Axles; Costs; Inspection; Mechanical engineering; Optical sensors; Rail transportation; Railway safety; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1024495
  • Filename
    1024495