IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry

Abdul Quayyum Gbadamosi, Lukumon O. Oyedele*, Juan Manuel Davila Delgado, Habeeb Kusimo, Lukman Akanbi, Oladimeji Olawale, Naimah Muhammed-yakubu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    42 Citations (SciVal)
    Original languageEnglish
    Article number103486
    JournalAutomation in Construction
    Volume122
    DOIs
    Publication statusPublished (VoR) - Feb 2021

    Funding

    This work has been funded by the Department for Transport (DfT) fund through the Innovate UK, Project number 104242 .

    FundersFunder number
    Department for Transport
    Innovate UK104242

      Keywords

      • Augmented reality
      • Internet of things
      • Predictive maintenance
      • Rail assets
      • Remote inspection

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