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A fusion toolbox for sensor data fusion in industrial recycling
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology.
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology.
IEEE, Department of Technology and Science, Örebro University, Örebro, SwedenDepartment of Technology and Science, Örebro University, Örebro, Sweden,.
2002 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, Vol. 51, no 1, 144-149 p.Article in journal (Refereed) Published
Abstract [en]

Information from different sensors can be fused in various ways. It is often difficult to choose the most suitable method for solving a fusion problem. In a measurement situation, the measured signal is often corrupted by disturbances (noise, etc.). It is, therefore, meaningless to compare crisp values without the corresponding uncertainty intervals. This paper describes a toolbox including nine different fusing methods. All methods are applied on training data, and the most suitable method is then used for solving the real fusion problem. In the example, fusion is performed on data for classification in an industrial recycling operation. The data is from different vision systems and an eddy current system. The fusion methods included in the toolbox are fuzzy logic with triangular and Gaussian shaped membership functions, fuzzy measures with triangular and Gaussian shapes, Bayes' statistics, artificial neural networks, multivariate analysis (PCA), a knowledge-based system, and a neuro-fuzzy system.

Place, publisher, year, edition, pages
2002. Vol. 51, no 1, 144-149 p.
Keyword [en]
AC motors, DC motors, Fuzzy logic, Fuzzy neural networks, Neural networks, Robot vision systems
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-47112DOI: 10.1109/19.989918OAI: oai:DiVA.org:liu-47112DiVA: diva2:268008
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-13

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Karlsson, BeatriceJärrhed, Jan-Ove

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Karlsson, BeatriceJärrhed, Jan-Ove
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The Institute of TechnologyDepartment of Physics, Chemistry and Biology
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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