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Weld Defect Recognition Technology Using RBF Neural Network

Peng Wang, Jing Wang, Zhigang Lv, Weidong Du


It is an important and difficult problem to automatically recognize the weld defect. This paper proposes a new auto-intelligent algorithm of recognizing weld defect based on the RBF neural network (NN) and then designs a visual operating system of the weld defect auto-recognition algorithm. First, the author chooses RBF-NN as the basis of weld defect auto intelligent recognition algorithm by comparing kinds of algorithm based on NN. Then the author designs an operating system with user interface using MATLAB GUI. Finally, the author examines the performance of the algorithm by some experiments. Results show that right recognition rate is 92%. The system has a superior performance in adaptability and practicability.


weld defects, RBF neural network, GUI design.

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