• DocumentCode
    1984788
  • Title

    Failure diagnostics for railway point machines using expert systems

  • Author

    Atamuradov, V. ; Camci, F. ; Baskan, S. ; Sevkli, M.

  • Author_Institution
    Dept. of Comput. Eng., Fatih Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    Aug. 31 20096-Sept. 3 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Maintenance is an inevitable reality in industry. Maintenance of a system usually involves maintenance of multiple components with multiple failure modes, each of which may require different maintenance policy (i.e., corrective (CM), preventive (PM), or condition based maintenance (CBM)). A maintenance policy may be best for one component and the worst for the other (CM may be best for a very cheap and non-critical component and the worst for a critical one). This paper presents an economical analysis method that identifies the best maintenance policy for a failure mode and/or component of a system.
  • Keywords
    economics; expert systems; failure analysis; maintenance engineering; railways; economical analysis; expert systems; failure diagnostics; maintenance policy; multiple component maintenance; multiple failure modes; railway point machines; Clustering algorithms; Control systems; Diagnostic expert systems; Fault diagnosis; Phase measurement; Rail transportation; Remote monitoring; Signal analysis; Smoothing methods; Time series analysis; Diagnostics; Expert Systems; Railway Turnouts; Time Series Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives, 2009. SDEMPED 2009. IEEE International Symposium on
  • Conference_Location
    Cargese
  • Print_ISBN
    978-1-4244-3441-1
  • Type

    conf

  • DOI
    10.1109/DEMPED.2009.5292755
  • Filename
    5292755