A Framework for Maintenance 4.0

Erkki Jantunen, Giovanni Di Orio, Felix Larrinaga, Martin Becker, Michele Albano, Pedro Malo

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

    Abstract

    The rapid development of new low-cost sensors of reasonable processing power have led to the introduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable, two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. The potential of CPS to support maintenance is explained, and it is related to the requirements set upon the sensors, such as robustness, communication capabilities, intelligence, small size, etc. A new framework and architecture with support for Health management, Prognostics and Collaborative decision-making functionalities that takes the full advantage of the above introduced new technologies is described both theoretically and in the light of some industrial use case examples. A comparative between the approaches implemented in the use cases brings light into the maintenance possibilities to address in such a framework.
    Original languageEnglish
    Title of host publicationProceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability
    Place of PublicationManchester
    ISBN (Electronic)978-0-905091-32-7
    DOIs
    Publication statusPublished - 14 Jun 2018
    MoE publication typeNot Eligible
    Event10th International Conference on Modelling in Industrial Maintenance and Reliability, MIMAR 2018 - Mancehester, United Kingdom
    Duration: 13 Jun 201815 Jun 2018

    Conference

    Conference10th International Conference on Modelling in Industrial Maintenance and Reliability, MIMAR 2018
    Abbreviated titleMIMAR 2018
    CountryUnited Kingdom
    CityMancehester
    Period13/06/1815/06/18

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  • Cite this

    Jantunen, E., Di Orio, G., Larrinaga, F., Becker, M., Albano, M., & Malo, P. (2018). A Framework for Maintenance 4.0. In Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability https://doi.org/10.19124/ima.2018.001.10