• DocumentCode
    1831420
  • Title

    Condition monitoring of rail vehicle bogies

  • Author

    Ward, Christopher P. ; Goodall, Roger M. ; Dixon, R. ; Charles, Guy

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
  • fYear
    2010
  • fDate
    7-10 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper details a range of work carried out by the authors within the general theme of advanced condition monitoring possibilities for rail vehicle bogies. Maintenance of rail vehicle bogies represents one of the largest areas of whole vehicle running costs and their efficient operation is of safety critical importance to the entire rail system. Currently the majority of maintenance is carried out on a scheduled basis which can be time consuming, costly and potentially not effective at fault detection. This paper reviews concepts that could allow real time detection of the condition of the bogie so as to reduce vehicle out of service time and improve safe operation. Concepts reviewed are: the use of condition monitoring for detection of suspension component condition; detection of low adhesion conditions; and assessment of the wheel-rail interface condition.
  • Keywords
    adhesion; condition monitoring; fault diagnosis; locomotives; maintenance engineering; rails; railway safety; scheduling; suspensions (mechanical components); wheels; adhesion; condition monitoring; maintenance scheduling; rail system safety; rail vehicle bogies; real-time fault detection; suspensions; time consumption; wheel-rail interface condition; Accelerometers; Fault Diagnosis/Detection; Kalman Filters; Nonlinear Systems; Piecewise Linear Analysis; Railways; Recursive Least Squares; Vehicle Dynamics;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control 2010, UKACC International Conference on
  • Conference_Location
    Coventry
  • Electronic_ISBN
    978-1-84600-038-6
  • Type

    conf

  • DOI
    10.1049/ic.2010.0447
  • Filename
    6490905