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On-line quality monitoring in short: circuit gas metal arc welding
Responsible organisation
1999 (English)In: Welding Journal, ISSN 0043-2296, Vol. 78, no 2, 59S-73S p.Article in journal (Refereed) Published
Abstract [en]

This paper addresses the problems involved in the automatic monitoring of the weld quality produced by robotized short-arc welding. A simple statistical change detection algorithm for the weld quality, the repeated Sequential Probability Ratio Test (SPRT), was used. The algorithm may similarly be viewed as a cumulative sum (CUSUM) type test, and is well-suited to detecting sudden minor changes in the monitored test statistic. The test statistic is based on the variance of the weld voltage, wherein it will be shown that the variance decreases when the welding process is not operating under optimal conditions. The performance of the algorithm is assessed through the use of experimental data. The results obtained from the algorithm show that it is possible to detect changes in weld quality automatically and on-line.

Place, publisher, year, edition, pages
New York,N.Y. : American welding society , 1999. Vol. 78, no 2, 59S-73S p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-9847ISI: 000078532000021Local ID: oai:bth.se:forskinfo83504C51B951020FC12568A3002CAAA0OAI: oai:DiVA.org:bth-9847DiVA: diva2:837810
Note
Submitted for publication 1997Available from: 2012-09-18 Created: 2000-03-15 Last updated: 2015-06-30Bibliographically approved

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