Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools
B. Denkena, M. Dittrich, H. Noske, D. Lange, C. Benjamins, and M. Lindauer. International Journal of Advanced Manufacturing Technology, 127 (3-4):
1143--1164(July 2023)Funding Information: Open Access funding enabled and organized by Projekt DEAL. Funded by the Lower Saxony Ministry of Science and Culture under grant number ZN3489 within the Lower Saxony “Vorab” of the Volkswagen Foundation, Germany, supported by the Center for Digital Innovations (ZDIN), Germany. Carolin Benjamins and Marius Lindauer acknowledge support by European Union under the ERC Starting Grant “ixAutoML” (grant no. 101041029). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the ERC can be held responsible for them..
DOI: 10.1007/s00170-023-11524-9
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Application of machine learning for fleet-based condition monitoring of ball screw drives in machine toolsB. Denkena, M. Dittrich, H. Noske, D. Lange, C. Benjamins, and M. Lindauer. International Journal of Advanced Manufacturing Technology, 127 (3-4):
1143--1164(July 2023)Funding Information: Open Access funding enabled and organized by Projekt DEAL. Funded by the Lower Saxony Ministry of Science and Culture under grant number ZN3489 within the Lower Saxony “Vorab” of the Volkswagen Foundation, Germany, supported by the Center for Digital Innovations (ZDIN), Germany. Carolin Benjamins and Marius Lindauer acknowledge support by European Union under the ERC Starting Grant “ixAutoML” (grant no. 101041029). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the ERC can be held responsible for them..
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