Advanced sensor-based maintenance in real-world exemplary cases

Michele Albano; Luis Lino Ferreira; Giovanni Di Orio; Pedro Maló; Godfried Webers; Erkki Jantunen; Iosu Gabilondo; Mikel Viguera; Gregor Papa

doi:10.1080/00051144.2020.1794192

Advanced sensor-based maintenance in real-world exemplary cases

Michele Albano^*
, Luis Lino Ferreira
, Giovanni Di Orio
, Pedro Maló
, Godfried Webers
, Erkki Jantunen
, Iosu Gabilondo
, Mikel Viguera
, Gregor Papa

^*Corresponding author for this work

Aalborg University
Polytechnic Institute of Porto
Universidade Nova de Lisboa
Philips
Ikerlan Technology Research Centre
KONIKER S.Coop
Jožef Stefan Institute

Research output: Contribution to journal › Article › Scientific › peer-review

18 Citations (Scopus)

115 Downloads (Pure)

Abstract

Collecting complex information on the status of machinery 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 Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four 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 unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.

Original language	English
Pages (from-to)	537-553
Journal	Automatika
Volume	61
Issue number	4
DOIs	https://doi.org/10.1080/00051144.2020.1794192
Publication status	Published - 2020
MoE publication type	A1 Journal article-refereed

Funding

This work was partially supported by National Funds through FCT/MEC (Portuguese Foundation for Science and Technology), Slovenian Research Agency (research core funding No. P2-0098), 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 no. 662189 (MANTIS); also by EU ECSEL JU under the H2020 Framework Programme, JU grant no. 737459 (Productive4.0 project).

Keywords

Condition-based maintenance
demonstrators
pilots
predictive maintenance
use cases
virtual sensors

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10.1080/00051144.2020.1794192Licence: CC BY

00051144.2020.1794192Final published version, 4.14 MBLicence: CC BY

Cite this

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title = "Advanced sensor-based maintenance in real-world exemplary cases",

abstract = "Collecting complex information on the status of machinery 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 Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four 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 unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.",

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AU - Albano, Michele

AU - Lino Ferreira, Luis

AU - Di Orio, Giovanni

AU - Maló, Pedro

AU - Webers, Godfried

AU - Jantunen, Erkki

AU - Gabilondo, Iosu

AU - Viguera, Mikel

AU - Papa, Gregor

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AB - Collecting complex information on the status of machinery 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 Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four 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 unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.

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KW - predictive maintenance

KW - use cases

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Advanced sensor-based maintenance in real-world exemplary cases

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Keywords

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