A neural network based quality control system for steel strip manufacturing

Abstract

A real time quality control system for flat products, applied to steel strip manufacturing, is introduced. The system is able to perform this task when the product runs at its maximum speed (15 m/s). The outlines of the overall system are explained, paying special attention to the neural classifier. A new model of neural network has been developed in order to implement this subsystem. Some benchmark results are resembled in order to ease the understanding of the model.