A novel adversarial domain adaptation transfer learning method for tool wear state prediction

. Finally, the proposed method was verified on an 8 mm and 2 mm tool wear states prediction. Compared with different transfer learning methods, the superiority of the proposed dynamic adversarial domain adaptation method was proved.