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

    2 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
    Number of pages6
    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
    CountryGreece
    CityThessaloniki
    Period10/04/1813/04/18

    Fingerprint

    Maintenance
    Sensor
    Sensors
    Scenarios
    Enablers
    Sensing
    Monitoring

    Keywords

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

    Cite this

    Albano, M., Lino Ferreira, L., Di Orio, G., Malo, P., Webers, G., Jantunen, E., ... Novak, F. (2018). Sensors: The Enablers for Proactive Maintenance in the Real World. In 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 (pp. 569-574). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/CoDIT.2018.8394852
    Albano, Michele ; Lino Ferreira, Luis ; Di Orio, Giovanni ; Malo, Pedro ; Webers, Godfried ; Jantunen, Erkki ; Gabilondo, Iosu ; Viguera, Mikel ; Papa, Gregor ; Novak, Franc. / Sensors : The Enablers for Proactive Maintenance in the Real World. 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. IEEE Institute of Electrical and Electronic Engineers , 2018. pp. 569-574
    @inproceedings{3fe470a69f7e405c8bc7f60d853eb91b,
    title = "Sensors: The Enablers for Proactive Maintenance in the Real World",
    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.",
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    author = "Michele Albano and {Lino Ferreira}, Luis and {Di Orio}, Giovanni and Pedro Malo and Godfried Webers and Erkki Jantunen and Iosu Gabilondo and Mikel Viguera and Gregor Papa and Franc Novak",
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    Albano, M, Lino Ferreira, L, Di Orio, G, Malo, P, Webers, G, Jantunen, E, Gabilondo, I, Viguera, M, Papa, G & Novak, F 2018, Sensors: The Enablers for Proactive Maintenance in the Real World. in 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. IEEE Institute of Electrical and Electronic Engineers , pp. 569-574, 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, Thessaloniki, Greece, 10/04/18. https://doi.org/10.1109/CoDIT.2018.8394852

    Sensors : The Enablers for Proactive Maintenance in the Real World. / Albano, Michele; Lino Ferreira, Luis; Di Orio, Giovanni; Malo, Pedro; Webers, Godfried; Jantunen, Erkki; Gabilondo, Iosu; Viguera, Mikel; Papa, Gregor ; Novak, Franc.

    2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. IEEE Institute of Electrical and Electronic Engineers , 2018. p. 569-574.

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

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    AU - Albano, Michele

    AU - Lino Ferreira, Luis

    AU - Di Orio, Giovanni

    AU - Malo, Pedro

    AU - Webers, Godfried

    AU - Jantunen, Erkki

    AU - Gabilondo, Iosu

    AU - Viguera, Mikel

    AU - Papa, Gregor

    AU - Novak, Franc

    PY - 2018/6/22

    Y1 - 2018/6/22

    N2 - 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.

    AB - 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.

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    Albano M, Lino Ferreira L, Di Orio G, Malo P, Webers G, Jantunen E et al. Sensors: The Enablers for Proactive Maintenance in the Real World. In 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. IEEE Institute of Electrical and Electronic Engineers . 2018. p. 569-574 https://doi.org/10.1109/CoDIT.2018.8394852