• DocumentCode
    1914293
  • Title

    Abnormality Detection in Event Data and Condition Counters on Regina Trains

  • Author

    Holst, Anders ; Ekman, Jan ; Larsen, Stefan

  • Author_Institution
    Swedish Inst. of Comput. Sci.
  • fYear
    2006
  • fDate
    29-30 Nov. 2006
  • Firstpage
    53
  • Lastpage
    56
  • Abstract
    The Regina trains, manufactured by Bombardier Transportation, contain software and hardware to generate as well condition data as event data that can be used to monitor the condition of the trains. In this paper we present the necessary equations for abnormality detection of both event data and condition counters in a general setting. The use of the equations is illustrated on authentic data from Regina trains
  • Keywords
    Bayes methods; condition monitoring; fault diagnosis; locomotives; railway engineering; statistical analysis; Bombardier Transportation; Regina trains; abnormality detection; condition counters; condition data; condition monitoring; event data; Bayesian statistics; Condition monitoring; Statistical anomaly detection;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Railway Condition Monitoring, 2006. The Institution of Engineering and Technology International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    0-86341-732-9
  • Type

    conf

  • Filename
    4126734