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Title
Remote maintenance support with the aid of cyber-physical systems and cloud technology
Author
Zurutuza, Urko ccMondragon Unibertsitatea
Gorostegui, Unai ccMondragon Unibertsitatea
Author (from another institution)
Jantunen, Erkki
Albano, Michele
Ferreira, Luis Lino
Hegedűs, Csaba
Campo, Jaime
Research Group
Análisis de datos y ciberseguridad
Published Date
2018
Publisher
Sage Journals
Keywords
Cyber Physical Systems
CPS
IoT
MEMS ... [+]
Cyber Physical Systems
CPS
IoT
MEMS
MIMOSA
OSA-CBM [-]
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-phys ... [+]
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. [-]
URI
https://hdl.handle.net/20.500.11984/5582
Publisher’s version
https://doi.org/10.1177/0959651818772939
ISSN
0959-6518
Published at
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering  Vol. 232. Nº 6. Pp. 784-794. First Published May 9, 2018
Document type
Article
Version
Postprint – Accepted Manuscript
Rights
© SAGE 2018
Access
Open Access
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  • Articles - Engineering [483]

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