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Cyber Physical System Based Proactive Collaborative Maintenance.pdf (1.756Mb)
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Title
Cyber Physical System Based Proactive Collaborative Maintenance
Author
Zurutuza, Urko ccMondragon Unibertsitatea
Uribeetxeberria, Roberto ccMondragon Unibertsitatea
Author (from another institution)
Papa, Gregor
Research Group
Análisis de datos y ciberseguridad
Análisis de datos y ciberseguridad
Published Date
2016
Publisher
IEEE
Keywords
Cyber Physical Systems CPS
Collaborative maintenance ecosystems
Proactive maintenance
MANTIS
Abstract
The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting an ... [+]
The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent failures and scheduling proactive maintenance. Maintenance is an important element that creates added value in the business processes and it also creates new business models with a stronger service orientation. Physical systems and the environment they work in are continuously monitored by a range of intelligent sensors, resulting in massive amounts of data, which characterise the usage history, working condition, location, movement and other physical properties of the systems. These systems are part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge, while minimising the need for bandwidth. Sophisticated distributed sensing and decision-making functions are performed at different levels collaboratively, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision-making. [-]
URI
https://hdl.handle.net/20.500.11984/1182
Publisher’s version
http://dx.doi.org/10.1109/SST.2016.7765654
ISBN
978-1-5090-3718-6 Print
Published at
Proceedings of the 2016 International Conference on Smart Systems and Technologies (SST). Osijek. 12-14 October.  Pp. 173-178. IEEE, 2016
Document type
Conference paper
Version
Postprint – Accepted Manuscript
Rights
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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Open Access
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  • Conferences - Engineering [242]

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