%0 Conference Paper %1 georgi2021utilization %A Georgi, Patrick %A Eschelbacher, Sarah %A Möhring, Hans-Christian %D 2021 %J MM Science Journal %K ifw myown %P 5120-5125 %R DOI : 10.17973/MMSJ.2021_11_2021164 %T Utilization of machine learning approaches for tool wear detection and prediction in the circular sawing process of metallic materials

@inproceedings{georgi2021utilization, added-at = {2023-11-30T09:50:31.000+0100}, author = {Georgi, Patrick and Eschelbacher, Sarah and Möhring, Hans-Christian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d32a8ed7beb191ecc57062d1c33c5c73/patrickgeorgi}, doi = {DOI : 10.17973/MMSJ.2021_11_2021164}, interhash = {c9185544cee4fd604edc29ed08ab2ef8}, intrahash = {d32a8ed7beb191ecc57062d1c33c5c73}, journal = {MM Science Journal}, keywords = {ifw myown}, pages = {5120-5125}, timestamp = {2023-11-30T09:53:56.000+0100}, title = {Utilization of machine learning approaches for tool wear detection and prediction in the circular sawing process of metallic materials}, year = 2021 }