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Cloud-based Predictive Maintenance
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-8906-630X
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, KTH. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
2015 (English)In: Proceedings of the 25th International Conference on Flexible Automation and Intelligent Manufacturing: Volume I - Designing for Advanced, High Value Manufacturing and Intelligent Systems for the 21st Century / [ed] Chike F. Oduoza, Wolverhampton, UK: The Choir Press , 2015, Vol. 1, 224-231 p.Conference paper (Refereed)
Abstract [en]

Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance is an approach that utilises the condition monitoring data to predict the future machine conditions and makes decisions upon this prediction. The main aim of the presented research is to achieve an improvement in Predictive Condition-based Maintenance Decision Making through the Cloud-based approach with usage of wide information content. For the improvement it is crucial to identify and track not only condition related data but also context data. Context data allows better utilisation of condition monitoring data as well as analysis based on a machine population. The objective of this paper is to outline the first steps of a framework and methodology to handle and process maintenance, production and factory related data from the first lifecycle phase to the operation and maintenance phase.

Place, publisher, year, edition, pages
Wolverhampton, UK: The Choir Press , 2015. Vol. 1, 224-231 p.
Keyword [en]
Predictive Maintenance, Condition Based Maintenance, Cloud
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11242ISBN: 978-1-910864-00-5ISBN: 1910864005OAI: oai:DiVA.org:his-11242DiVA: diva2:827418
Conference
The International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 23-26 June 2015, University of Wolverhampton, UK
Available from: 2015-06-26 Created: 2015-06-26 Last updated: 2016-01-12Bibliographically approved

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