An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.
Saved in:
| Title: | An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion. |
|---|---|
| Authors: | Liu, Xianli1, Xianli.liu@hrbust.edu.cn, Zhang, Bowen1, Li, Xuebing1, Liu, Shaoyang1, Yue, Caixu1, Liang, Steven Y.2 |
| Source: | Journal of Intelligent Manufacturing; Feb2023, Vol. 34 Issue 2, p885-902, 18p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 09565515 |
|---|---|
| DOI: | 10.1007/s10845-022-01954-9 |
