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%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
}
