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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

5 Citationer (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.

OriginalsprogEngelsk
Titel2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Antal sider6
ForlagIEEE
Publikationsdato10 apr. 2018
Sider569-574
ISBN (Trykt)978-1-5386-5066-0
ISBN (Elektronisk)9781538650653
DOI
StatusUdgivet - 10 apr. 2018
Udgivet eksterntJa
Begivenhed5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 - Thessaloniki, Grækenland
Varighed: 10 apr. 201813 apr. 2018

Konference

Konference5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Land/OmrådeGrækenland
ByThessaloniki
Periode10/04/201813/04/2018
NavnInternational Conference on Control, Decision and Information Technologies (CoDIT)
ISSN2576-3555

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