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The Development of Automatic Inspection System for Flaw Detection in Welding Pipe  

Yoon Sung-Un (조선대학교 기계공학과)
Song Kyung-Seok (조선대학교 광응용공학과)
Cha Yong-Hun (조선대학교 기계공학과)
Kim Jae-Yeol (조선대학교 메카트로닉스공학과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.15, no.2, 2006 , pp. 87-92 More about this Journal
Abstract
This paper supplements shortcoming of radioactivity check by detecting defect of SWP weld zone using ultrasonic wave. Manufacture 2 stage robot detection systems that can follow weld bead of SWP by method to detect weld defects of SWP that shape of weld bead is complex for this as quantitative. Also, through signal processing ultrasonic wave defect signal system of GUI environment that can grasp easily existence availability of defect because do videotex compose. Ultrasonic wave signal of weld defects develops artificial intelligence style sightseeing system to enhance pattern recognition of weld defects and the classification rate using neural net. Classification of weld defects that do fan Planar defect and that do volume defect of by classify.
Keywords
2-Axes Inspection Robot; PC-based UT System; Pattern Classifier;
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  • Reference
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