한국정밀공학회:학술대회논문집 (Proceedings of the Korean Society of Precision Engineering Conference)
- 한국정밀공학회 2002년도 추계학술대회 논문집
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- Pages.558-561
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- 2002
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- 2005-8446(pISSN)
인공신경회로망을 이용한 GMA 용접의 공정자동화
Process Automation of Gas Metal Arc Welding Using Artificial Neural Network
초록
A CCD camera with a laser strip was applied to realize the automation of welding Process in GMAW. It takes relatively long time to process image on-line control using the basic Hough transformation, but it has a tendency of robustness over the noise such spatter and arc light. The adaptive Hough transformation was used to extract the laser stripe and to obtain specific weld points In this study, a neural network based on the generalized delta rule algorithm was adapted for the process control of GMA, such as welding speed, arc voltage and wire feeding speed.