The work presented in this paper is performed in connection to the research project “Reality Lab Digital Railway” (VDJ). The paper contains a description of three parts of the project, i.e. “Rail View”, “Sky View”, and “Maintenance Go”. Infrastructure data was collected through railway vehicle and helicopter, while user needs was collected through interviews, workshop, observations, and document studies. The analysis of qualitative material is mainly based on international dependability standards, e.g. the IEC 60300-series. The result encompass a description of some use cases as well as some specific user needs in relation to a generic maintenance process. Finally, the paper concludes with a discussion of some results and their application, but also their extension with Artificial Intelligence (AI) as part of digitalised asset management. A tentative analysis model is also described to support the positioning of different digitalisation initiatives within asset management and support their implementation.


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    Titel :

    Rail View, Sky View and Maintenance Go – Digitalisation Within Railway Maintenance


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Karim, Ramin (Herausgeber:in) / Ahmadi, Alireza (Herausgeber:in) / Soleimanmeigouni, Iman (Herausgeber:in) / Kour, Ravdeep (Herausgeber:in) / Rao, Raj (Herausgeber:in) / Granström, Rikard (Autor:in) / Söderholm, Peter (Autor:in) / Eriksson, Stefan (Autor:in)

    Kongress:

    International Congress and Workshop on Industrial AI ; 2021 ; Luleå, Sweden October 05, 2021 - October 07, 2021



    Erscheinungsdatum :

    07.02.2022


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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