Selection of input variables and structure of neural network for assessment of quality of resistance spot welding

摘要

Analysis of input parameters of neural networks for the quality control was performed. Main requirements to neural networks were formulated. It is shown that the offered neural network provides the required accuracy in prediction of weld nugget diameter and can be built-in into the controller for control of spot welding process.