This paper develops a new approach for fault detection and diagnosis for electric DC point machines operated on the railways in the UK. It is shown that the electric current is an appropriate parameter to acquire and analyse for DC point machine condition monitoring. The new methodology for fault detection and diagnosis proposed in this paper utilises wavelet transforms and support vector machines. It is shown that this method can detect and diagnose faults to a high degree of accuracy and can provide an indication of the severity of the faults.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving the dependability of DC point machines with a novel condition monitoring system


    Contributors:


    Publication date :

    2013-07-01


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Condition monitoring of railway electric point machines

    Oyebande, B.O. / Renfrew, A.C. | IET Digital Library Archive | 2002


    Condition monitoring and validation of railway point machines

    Zhou, F. / Duta, M. / Henry, M. et al. | IET Digital Library Archive | 2001


    Development of an effective condition monitoring system for AC point machines

    Palte, M.H.A. / Institution of Engineering and Technology | British Library Conference Proceedings | 2011


    Condition monitoring system for harvesting machines

    Beck, Folker / Lenz, James E. | Tema Archive | 2010