Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2020.1794192
Advanced sensor-based maintenance in real-world exemplary cases
Michele Albano
orcid.org/0000-0002-3777-9981
; Department of Computer Science, Aalborg University, Aalborg, Denmark
Luis Lino Ferreira
; CISTER, ISEP, Polytechnic Institute of Porto, Porto, Portugal
Giovanni Di Orio
; UNINOVA / NOVA School of Science and Technology (FCT NOVA), Lisboa, Portugal
Pedro Maló
; UNINOVA / NOVA School of Science and Technology (FCT NOVA), Lisboa, Portugal
Godfried Webers
; Philips Healthcare, Amsterdam, Netherlands;
Erkki Jantunen
; VTT Technical Research Centre of Finland, Espoo, Finland
Iosu Gabilondo
; Ikerlan, Arrasate-Mondragón, Spain
Mikel Viguera
; Koniker, Arrasate-Mondragón, Spain
Gregor Papa
; Jožef Stefan Institute, Ljubljana, Slovenia
Sažetak
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.
Ključne riječi
Condition-based maintenance; predictive maintenance; virtual sensors; use cases; demonstrators; pilots
Hrčak ID:
258288
URI
Datum izdavanja:
23.9.2020.
Posjeta: 400 *