Feasibility of differentiating defect signals of ultrasonic testing for laser weld based on independent component analysis theory
来源期刊：Rare Metals2007年第S1期
论文作者：GUO Liwei,GANG Tie,and LI Jinquan State Key Laboratory of Advanced Welding Production Technology,Harbin Institute of Technology,Harbin ,China
文章页码：56 - 60
摘 要：Separating noise from observed signals was studied.When the small defect in the T-shape laser welding joint was inspected by ultrasonic testing system adopting independent component analysis（ICA） theory to process the signals.The principle of automatic ultrasonic testing signals processing and negentropy law of ICA were introduced.The experimental data were processed using relative analysis tools and results showed that the ICA could separate defects signals from noise effectively in laboratory.
GUO Liwei,GANG Tie,and LI Jinquan State Key Laboratory of Advanced Welding Production Technology,Harbin Institute of Technology,Harbin 150001,China
摘 要：Separating noise from observed signals was studied.When the small defect in the T-shape laser welding joint was inspected by ultrasonic testing system adopting independent component analysis（ICA） theory to process the signals.The principle of automatic ultrasonic testing signals processing and negentropy law of ICA were introduced.The experimental data were processed using relative analysis tools and results showed that the ICA could separate defects signals from noise effectively in laboratory.
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