• DocumentCode
    1955296
  • Title

    Development of an effective condition monitoring system for AC point machines

  • Author

    Asada, T. ; Roberts, C.

  • Author_Institution
    Sch. of Electr., Electron. & Comput. Eng., Univ. of Birmingham, Birmingham, UK
  • fYear
    2011
  • fDate
    29-30 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper develops a new approach for the fault detection and diagnosis of AC point machines. The paper shows that electrical active power can be used as a parameter for condition monitoring systems for AC point machines. The methodology proposed in this paper utilises Wavelet Transforms and Support Vector Machines. It was found that this method can detect and diagnose faults to a high degree of accuracy.
  • Keywords
    AC machines; condition monitoring; fault diagnosis; support vector machines; wavelet transforms; AC point machines; condition monitoring system; electrical active power; fault detection; fault diagnosis; support vector machines; wavelet transforms; Condition monitoring; Fault diagnosis; Point machine; Support Vector Machine; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), 5th IET Conference on
  • Conference_Location
    Derby
  • Type

    conf

  • DOI
    10.1049/cp.2011.0584
  • Filename
    6191852