Neural Networks for the real time classification of weld defects from ultrasonic data

The ultrasonic techniques are being widely used in the non destructive testing field for flaw sizing and classification in metals. The report describes the development of the ultrasonic scanner for weld V-type inspections and the study of the neural network classifiers that process 3D data set. The activity has been carried out within the European "ANNIE" project.