Application Study of Automatic Welding Technology in Mechanical Manufacturing
Welding automation is the key to realize intelligent upgrading of machinery manufacturing,but it is faced with some technical problems such as weld forming control,multi-source data fusion and dynamic parameter optimization.Based on this,a set of intelligent solutions is proposed,including weld defect detection based on deep learning,heterogeneous sensor fusion based on adaptive Kalman filter,and dynamic parameter optimization method combining expert knowledge and machine learning.Through the test verification,the weld forming quality is obviously improved after adopting this scheme,the pass rate is increased by 5～12 percentage points,and the welding production efficiency is increased by 11%～22%.
NETL
NSTL
万方数据
维普
