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Next Generation Condition Based Predictive Maintenance
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2014 (English)Conference paper, Published 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 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.

Place, publisher, year, edition, pages
2014.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-205935OAI: oai:DiVA.org:kth-205935DiVA, id: diva2:1090774
Conference
Proceedings of the 6th International Swedish Production Symposium, Chalmers, Göteborg
Note

QC 20170519

Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-05-19Bibliographically approved

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CiteExportLink to record
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