Increasing demands for more cost-effective, reliable and safer railway infrastructure unavoidably bring up the need for transitioning from current preventive maintenance strategies to more efficient, predictive, condition-based maintenance models. Such a change requires large installations of sensors that continuously monitor key infrastructure and aggregate captured data for post-processing in the cloud. Due to the amount of assets to be supervised, novel approaches must be studied in order to find a viable solution that is deployable on this scale. Continuous surveillance is then a desired goal, as it is closely associated with big-data analytics and allows to predict upcoming issues and react to unexpected events. Infrastructure managers will gain much better overview as a result of large amount of highly representative data set-in-context; moreover, they will benefit from having supportive algorithms simplifying their determinations. This paper describes the safety-related measures performed on one such system; eventually intended to replace the routine inspections currently being carried out on railway points and level crossings.


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    Titel :

    RailCheck: Functional Safety for Wireless Condition Monitoring of Railway Turnouts and Level Crossings


    Beteiligte:
    Sramota, Jan (Autor:in) / Lundteigen, Mary Ann (Autor:in) / Petersen, Stig (Autor:in) / Skavhaug, Amund (Autor:in)


    Erscheinungsdatum :

    2019-10-01


    Format / Umfang :

    244600 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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