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Acquisition and pattern recognition of spectrum information of welding metal transfer

โœ Scribed by Han GuoMing; Yun ShaoHui; Cao XinHua; Li JunYue


Publisher
Elsevier Science
Year
2003
Weight
734 KB
Volume
24
Category
Article
ISSN
0261-3069

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โœฆ Synopsis


With the creation of a pattern recognition system for metal transfer mode, this article has collected five kinds of spectrum signals in gas metal arc welding (MIG, MAG and CO ) and take them as training samples. These samples have been pretreated 2 by computer, several key characteristic parameters of the spectrum signal have been creatively extracted, and a corresponding recognition function and a minimum-distance-classifier have been constructed. The results show that the pattern recognition of several kinds of metal transfer modes for the metal gas arc welding can be done successfully, and relative important parameters in welding process, such as the frequency of droplet transfer and the approximate diameter of each droplet, can also be obtained.


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