Remote maintenance support with the aid of cyber-physical systems and cloud technology

Erkki Jantunen*, Unai Gorostegui, Urko Zurutuza, Michele Albano, Luis Lino Ferreira, Csaba Hegedűs, Jaime Campos

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

7 Citationer (Scopus)

Abstract

This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.

OriginalsprogEngelsk
TidsskriftProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Vol/bind232
Udgave nummer6
Sider (fra-til)784-794
Antal sider11
ISSN0959-6518
DOI
StatusUdgivet - 1 jul. 2018
Udgivet eksterntJa

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