Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Semantic Framework for Predictive Maintenance in a Cloud Environment
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde, Sweden.
2017 (English)In: 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Elsevier, 2017, Vol. 62, 583-588 p.Conference paper, (Refereed)
Abstract [en]

Proper maintenance of manufacturing equipment is crucial to ensure productivity and product quality. To improve maintenance decision support, and enable prediction-as-a-service there is a need to provide the context required to differentiate between process and machine degradation. Correlating machine conditions with process and inspection data involves data integration of different types such as condition monitoring, inspection and process data. Moreover, data from a variety of sources can appear in different formats and with different sampling rates. This paper highlights those challenges and presents a semantic framework for data collection, synthesis and knowledge sharing in a Cloud environment for predictive maintenance.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 62, 583-588 p.
Series
Procedia CIRP, ISSN 2212-8271 ; 62
Keyword [en]
Cloud manufacturing, Knowledge management, Predictive maintenance
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-210207DOI: 10.1016/j.procir.2016.06.047Scopus ID: 2-s2.0-85020714569OAI: oai:DiVA.org:kth-210207DiVA: diva2:1117620
Conference
10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME 2016, Ischia, Italy, 20 July 2016 through 22 July 2016
Note

QC 20170629

Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-06-29Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Wang, Lihui
By organisation
Production Engineering
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf