METHOD OF OPTIMIZING WELDING PARAMETERS FOR WELDING CONTROL, METHOD FOR PROVIDING A TRAINED ALGORITHM FOR MACHINE LEARNING AND WELDING CONTROL

摘要

The invention relates to a computer-implemented method for optimizing welding parameters (SP1, SP2) for a welding controller (1), with the steps of approximating (S2) at least one numerical value (W) of an objective function for the plurality of first welding parameters (SP1) for the welding controller ( 1) using a trained machine learning algorithm (A1) which is applied to the plurality of first welding parameters (SP1), the objective function representing at least one quality criterion of a weld in response to a weld generated by the plurality of first welding parameters (SP1), and Optimizing (S4) the plurality of first welding parameters (SP1) for the welding controller (1) by means of an optimization algorithm (A2) which, using the first data set (DS1) comprising the plurality of first welding parameters (SP1) for the welding controller (1) and the approximated numerical value (W) of the objective function (F) an optimized plurality between Another welding parameter (SP2) is calculated for the welding control (1).