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An intelligent icons approach for rotor bar fault detection
Department of Applications of Information Technology in Administration and Economy, Technological and Educational Institute of Ionian Islands.
Larges Drives RandD Department, Siemens Industry Sector - Drive Technologies, Nuremberg.
Department of Informatics and Communications, Technology TEI of Epirus.ORCID iD: 0000-0001-9701-4203
Department of Informatics and Communications, Technology TEI of Epirus.
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2013 (English)In: IECON Proceedings (Industrial Electronics Conference), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 5526-5531, article id 6700038Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we propose the use of Intelligent Icons for both automatic assessment and representation of asynchronous machines' condition. The method focuses on the analysis of the start-up current for the isolation of a component that is able to pinpoint faulty signatures. The analysis is based on the application of Empirical Mode Decomposition (EMD) which acts as an adaptive filter during the start up and subsequently on the application of Symbolic Aggregate approXimation (SAX) for the transformation of the extracted component into a symbolic representation. Using this symbolic representation, an automated detection procedure can be developed that discriminates between faulty and normal conditions using an intelligent Icons approach while at the same time the information can be presented to the user in a more intuitive way

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 5526-5531, article id 6700038
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-68403DOI: 10.1109/IECON.2013.6700038Scopus ID: 2-s2.0-84893535817ISBN: 9781479902248 (electronic)OAI: oai:DiVA.org:ltu-68403DiVA, id: diva2:1198664
Conference
39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 10-14 November 2013
Available from: 2018-04-18 Created: 2018-04-18 Last updated: 2018-04-18Bibliographically approved

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Georgoulas, Georgios
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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
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Output format
  • html
  • text
  • asciidoc
  • rtf