Sensors: The Enablers for Proactive Maintenance in the Real World

Michele Albano, Luis Lino Ferreira, Giovanni Di Orio, Pedro Malo, Godfried Webers, Erkki Jantunen, Iosu Gabilondo, Mikel Viguera, Gregor Papa, Franc Novak

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    5 Citations (Scopus)

    Abstract

    Nowadays, collecting complex information regarding a machine status is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Proactive Maintenance (PM), which is the most advanced one. The paper discusses the sensors that can be used to support maintenance, as pertaining to different categories, spanning from common off-The-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. The paper proceeds then to detail three different real world examples of project pilots that make use of the described sensors, and draws a comparison between them. In particular, each scenario has got unique characteristics and prefers different families of sensors, but on the other hand provides similar characteristics on other aspects. In fact, the paper concludes with a discussion regarding how each scenario can benefit from PM and from advanced sensing.
    Original languageEnglish
    Title of host publication2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages569-574
    ISBN (Electronic)978-1-5386-5065-3, 978-1-5386-5064-6
    ISBN (Print)978-1-5386-5066-0
    DOIs
    Publication statusPublished - 22 Jun 2018
    MoE publication typeA4 Article in a conference publication
    Event5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 - The Grand Palace Hotel, Thessaloniki, Greece
    Duration: 10 Apr 201813 Apr 2018

    Conference

    Conference5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
    Abbreviated titleCoDIT 2018
    Country/TerritoryGreece
    CityThessaloniki
    Period10/04/1813/04/18

    Funding

    This work was partially supported by National Funds through FCT/MEC (Portuguese Foundation for Science and Technology), Finnish Funding Agency for Innovation Tekes, and co-financed by ERDF (European Regional Development Fund) under the PT2020 Partnership, within the CISTER Research Unit (CEC/04234); also by FCT/MEC and the EU ECSEL JU under the H2020 Framework Programme, within project ECSEL/0004/2014, JU grant nr. 662189 (MANTIS).

    Keywords

    • Proactive Maintenance
    • Cyber Physical Systems (CPS)
    • Sensors

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