期刊
SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
卷 13, 期 4, 页码 395-401出版社
TAYLOR & FRANCIS LTD
DOI: 10.1179/174329308X300118
关键词
infrared thermal image; weld bead geometry; artificial neural network; multilayer perceptron; radial basis function; online feature selection
In this article an artificial neural network based system to predict weld bead geometry using features derived from the infrared thermal video of a welding process is proposed. The multilayer perceptron and radial basis function networks are used in the prediction model and an online feature selection technique prioritises the features used in the prediction model. The efficacy of the system is demonstrated with a number of welding experiments and using the leave one out cross-validation experiments.
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