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Automated surface finish defect detection using statistical learning approach
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Volvo Group Trucks Operations.
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2018 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2018.
Keywords [en]
Statistical learning, classification, defect detection, automated quality inspection
National Category
Probability Theory and Statistics Manufacturing, Surface and Joining Technology Signal Processing
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-154566OAI: oai:DiVA.org:umu-154566DiVA, id: diva2:1272763
Conference
SweDS2018, November 20-21, 2018
Projects
FIQA
Funder
VINNOVA, 2015-03706Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2018-12-19

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Pya Arnqvist, NatalyaNilsson, Leif

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • 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
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  • asciidoc
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