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Cloud-based Predictive Maintenance
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0002-8906-630X
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Department of Production Engineering, KTH. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0001-8679-8049
2015 (engelsk)Inngår i: 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, s. 224-231Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Wolverhampton, UK: The Choir Press , 2015. Vol. 1, s. 224-231
Emneord [en]
Predictive Maintenance, Condition Based Maintenance, Cloud
HSV kategori
Forskningsprogram
Teknik; Produktion och automatiseringsteknik
Identifikatorer
URN: urn:nbn:se:his:diva-11242ISBN: 978-1-910864-00-5 (tryckt)ISBN: 1910864005 (tryckt)OAI: oai:DiVA.org:his-11242DiVA, id: diva2:827418
Konferanse
The International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), 23-26 June 2015, University of Wolverhampton, UK
Tilgjengelig fra: 2015-06-26 Laget: 2015-06-26 Sist oppdatert: 2019-12-20bibliografisk kontrollert

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