Weld quality control by neural network

摘要

Artificial neural network (ANN) is used for establishment of the models in GTAW conditions. The effectiveness of the static model is tested from both the weld quality and quantity aspects, and the dynamic model successfully takes the intelligent control of the weld quality. It is found that the ANN control strategy has a strong fault tolerance property and owes the good generality in welding quality control.