Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning

Pei Wang, Jingshuai Qi, Xun Xu, Sheng Yang

Abstract: Highlights•Integrated multi-source domain dynamic adaptive transfer learning is built for machining quality prediction.•Domain similarity-sample double matching multi-source domain integration is designed to integrate knowledge.•The combined use of three attention enhances feature learning ability and adaptation level.