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Next Generation Condition Based Predictive Maintenance
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Adaptive Manufacturing)ORCID-id: 0000-0002-8906-630X
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Adaptive Manufacturing)
Department of Production Engineering Royal Institute of Technology, Sweden.
2014 (engelsk)Inngår i: Proceedings of The 6th International Swedish Production Symposium 2014 / [ed] Johan Stahre, Björn Johansson, Mats Björkman, 2014Konferansepaper, 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 make decisions upon this prediction. The main aim of the presented research is to achieve an improvement in condition based Predictive Maintenance through the Cloud-based approach with usage of the largest information content possible. The objective of this paper is to outline the first steps of a framework to handle and process maintenance, production and factory related data from the first life-cycle phase to the operation and maintenance phase.

sted, utgiver, år, opplag, sider
2014.
Emneord [en]
predictive maintenance, prognosis, cloud-based maintenance
HSV kategori
Forskningsprogram
Teknik; Produktion och automatiseringsteknik
Identifikatorer
URN: urn:nbn:se:his:diva-9988ISBN: 978-91-980974-1-2 (tryckt)OAI: oai:DiVA.org:his-9988DiVA, id: diva2:748786
Konferanse
The 6th International Swedish Production Symposium 2014 16-18 September 2014
Tilgjengelig fra: 2014-09-22 Laget: 2014-09-22 Sist oppdatert: 2018-05-08bibliografisk kontrollert

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Schmidt, BernardSandberg, UlfWang, Lihui

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