DETECTING MACHINING ERRORS OF A LASER MACHINING SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORKS

摘要

The invention relates to a system for detecting machining errors for a laser machining system for machining a workpiece. The system comprises: a detection unit for detecting image data and height data of a machined workpiece surface; and a computing unit, wherein the computing unit is designed to generate an input tensor based on the detected image data and height data and to determine an output tensor on the basis of the input tensor using a transfer function, said output tensor containing information on a machining error.