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Quility Monitoring in Robotised Short Circuiting GMA Welding
Responsible organisation
1997 (English)Report (Other academic)
Abstract [en]

This paper addresses the problem of automatic monitoring the weld quality produced by robotised short arc welding. A simple statistical change detection algorithm for the weld quality, recursive Sequential Probability Ratio Test (SPRT), is used. The algorithm may equivalently be viewed as a cumulative sum (CUSUM) - type test. The test statistics is based upon the variance of the amplitude of the weld voltage. The performance of the algorithm is evaluated using experimental data. The results obtained from the algorithm indicate that it is possible to detect changes in the weld quality automatically and on-line.

Place, publisher, year, edition, pages
1997.
Series
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 3
Keyword [en]
Quality monitoring, GMA Welding, Detection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-00044Local ID: oai:bth.se:forskinfoA80E52B8C8789D21C12568A3002CA9B9OAI: oai:DiVA.org:bth-00044DiVA: diva2:837608
Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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Signal Processing

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CiteExportLink to record
Permanent link

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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