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Sökning: onr:"swepub:oai:DiVA.org:ltu-87142" > Augmented asset man...

  • Kumari, JayaLuleå tekniska universitet,Drift, underhåll och akustik (författare)

Augmented asset management in railways - Issues and challenges in rolling stock

  • Artikel/kapitelEngelska2022

Förlag, utgivningsår, omfång ...

  • 2021-09-13
  • Sage Publications,2022
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:ltu-87142
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87142URI
  • https://doi.org/10.1177/09544097211045782DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Validerad;2022;Nivå 2;2022-08-18 (sofila);Funder: Alstom; Tågföretagen; Norrtåg; Infranord; Trasnitio; Bombardier; Sweco; Omicold; Damill and partners
  • Managing assets in railway, including infrastructure and rolling stock, efficiently and effectively is challenging. The emerging digital technologies and Artificial Intelligence (AI) are expected to augment the decision making in Asset Management (AM) and Fleet Management (FM). The AI technologies need to be adapted to the specific needs of any industrial domain, e.g. railways, to facilitate the implementation and achievement of the overall business goals. This adaptation is denoted as ‘Industrial AI’(IAI). IAI for railways infrastructure and rolling stock, is dependent on an appropriate technology roadmap reflecting necessary know-hows. The IAI roadmap aims to provide a strategic and executive plan to augment managing railway assets i.e. ‘Augmented Asset Management (AAM)’. AAM can be applied through an end-to-end secure platform for e.g. data sharing among stakeholders, the development of analytics, and model sharing through distributed computing. AAM in railways can be enhanced through implementation of a generic fleet management (FM) approach. In the FM approach, any population of assets with common characteristics and also the relationship of the asset to the fleet is considered. This paper aims to develop and propose a concept for AAM enabled through IAI and digital technologies to provide augmented decision support through a secure platform, for AM in railways. A FM approach towards a holistic operation and maintenance of assets, based on a System of Systems thinking, for AAM in railways is applied for population of infrastructure assets and rolling stock assets with common characteristics. Finally, a taxonomy of issues and challenges, in the application of AAM to FM in railways is provided. The data for this taxonomy has been collected from railway organizations through iterative rounds of interviews. This taxonomy can be used for research and development of frameworks, approaches, technologies, and methodologies for AAM in railways.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Karim, Ramin,1964-Luleå tekniska universitet,Drift, underhåll och akustik(Swepub:ltu)raka (författare)
  • Thaduri, AdithyaLuleå tekniska universitet,Drift, underhåll och akustik(Swepub:ltu)aditha (författare)
  • Castano, MiguelLuleå tekniska universitet,Drift, underhåll och akustik(Swepub:ltu)migcas (författare)
  • Luleå tekniska universitetDrift, underhåll och akustik (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit: Sage Publications236:7, s. 850-8620954-40972041-3017

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