ABSTRACT
The concept of creating a multi-information system for collecting and analyzing information for automatic monitoring of welding and 3D printing processes is proposed, which is based on the application of neural networks with self-learning and information databases with relevant parameters of welding processes. Based on the action of such neural networks, feedback for automated control of these processes will be implemented in the system, which will allow creating an automatic monitoring system capable of controlling welding and 3D printing processes in real time.
