2023
- Comparison of Sensitivity-Guided and Black-Box Machine Tool Parameter Identification. Journal of Manufacturing and Materials Processing 7 (4), 2023, 120 more…
Daniel Piendl, M.Sc.
Technical University of Munich
Postal address
Postal:
Boltzmannstr. 15
85748 Garching b. München
- Room: 5503.01.303
Research topics
- Condition monitoring and predictive maintenance of machine tool components
- Protection of sensitive machine data using privacy-enhancing technologies
- Collaborative (cross-company) training of AI models for tool condition monitoring
- Systematic acquisition, processing and storage of machine tool data using edge devices, data interfaces, dashboards and databases