%0 Journal Article %1 strobel2023monitoring %A Ströbel, Robin %A Bott, Alexander %A Wortmann, Andreas %A Fleischer, Jürgen %D 2023 %I MDPI %J Machines %K digitaltwins isw software %N 11 %P 1032 %T Monitoring of Tool and Component Wear for Self-Adaptive Digital Twins: A Multi-Stage Approach through Anomaly Detection and Wear Cycle Analysis %V 11

@article{strobel2023monitoring, added-at = {2023-12-28T13:21:16.000+0100}, author = {Str{\"o}bel, Robin and Bott, Alexander and Wortmann, Andreas and Fleischer, J{\"u}rgen}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/254f3c882b3cb847afc5e89583d9ed379/isw-bibliothek}, interhash = {e8493c40b4f3c16f63bd4dc6a37db2bc}, intrahash = {54f3c882b3cb847afc5e89583d9ed379}, journal = {Machines}, keywords = {digitaltwins isw software}, number = 11, pages = 1032, publisher = {MDPI}, timestamp = {2023-12-28T13:21:16.000+0100}, title = {Monitoring of Tool and Component Wear for Self-Adaptive Digital Twins: A Multi-Stage Approach through Anomaly Detection and Wear Cycle Analysis}, volume = 11, year = 2023 }