A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring

Xiaohui Fang, Qinghua Song, Jing Qin, Zhenyang Li, Haifeng Ma, Zhanqiang Liu. A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring. Robotics Comput. Integr. Manuf., 92:102901, 2025. [doi]

@article{FangSQLML25,
  title = {A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring},
  author = {Xiaohui Fang and Qinghua Song and Jing Qin and Zhenyang Li and Haifeng Ma and Zhanqiang Liu},
  year = {2025},
  doi = {10.1016/j.rcim.2024.102901},
  url = {https://doi.org/10.1016/j.rcim.2024.102901},
  researchr = {https://researchr.org/publication/FangSQLML25},
  cites = {0},
  citedby = {0},
  journal = {Robotics Comput. Integr. Manuf.},
  volume = {92},
  pages = {102901},
}