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Optimizing Condition Monitoring of Big Data Systems
University of Sunderland, UK.
Mondragon University, Spain.
VTT Technical Research Centre of Finland, Finland.
Linnaeus University, Faculty of Technology, Department of Informatics. (Informatics)ORCID iD: 0000-0001-7048-8089
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2017 (English)In: Proceedings of the 2017 International Conference on Data Mining: DMIN'17 / [ed] Robert Stahlbock, Mahmoud Abou-Nasr, Gary M. Weiss, CSREA Press, 2017, p. 127-131Conference paper, Published paper (Refereed)
Abstract [en]

Industrial communication networks are common in a number of manufacturing organisations. The high availability of these networks is crucial for smooth plant operations. Therefore local and remote diagnostics of these networks is of primary importance in determining issues relating to plant reliability and availability. Condition Monitoring (CM) techniques when connected to a network provide a diagnostic system for remote monitoring of manufacturing equipment. The system monitors the health of the network and the equipment and is therefore able to predict performance. However, this leads to the collection, storage and analyses of large amounts of data, which must provide value. These large data sets are commonly referred to as Big Data. This paper presents a general concept of the use of condition monitoring and big data systems to show how they complement each other to provide valuable data to enhance manufacturing competiveness.

Place, publisher, year, edition, pages
CSREA Press, 2017. p. 127-131
National Category
Communication Systems Computer Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-68667ISBN: 1-60132-453-7 (print)OAI: oai:DiVA.org:lnu-68667DiVA, id: diva2:1155907
Conference
The 2017 International Conference on Data Mining, DMIN'17
Available from: 2017-11-09 Created: 2017-11-09 Last updated: 2017-12-06Bibliographically approved

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Campos, Jaime

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CiteExportLink to record
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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