Papers matching “machine tool error modeling” 57
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Hybrid Thermal Error Compensation Combining Integrated Deformation Sensor and Regression Analysis Based Models for Complex Machine Tool Designs2023 Lecture notes in production engineering conference-paper Engineering Advanced Measurement and Metrology Techniques Open access
Christian Naumann, Andreas Naumann, Nico Bertaggia, Alexander Geist, Janine Glänzel, Roland Herzog, +3 more
7citations -
Capability analysis of the dynamic R-test measuring thermo-elastic errors of a five-axis machine tool2025 CIRP journal of manufacturing science and technology article Engineering Advanced Measurement and Metrology Techniques Open access
Tae Hun Lee, Tim Klinkhammer, Daniel Zontar, Christian Brecher
3citations -
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty2024 Clinical Orthopaedics and Related Research article Medicine Total Knee Arthroplasty Outcomes Open access
Jacobien H. F. Oosterhoff, Anne de Hond, Rinne M Peters, Liza N. van Steenbergen, Juliette Caroline Sorel, Wierd Pieter Zijlstra, +7 more
12citations -
Hybrid soft sensor modeling for the wire section in tissue manufacturing: integrating first-principles and machine learning models2025 Nordic Pulp & Paper Research Journal article Engineering Fault Detection and Control Systems Open access
Rosario Othen, Chen Lu Song, Jan Schlake, Christian Möbitz, Thomas Gries
0citations -
Bio-based insulation materials and model predictive control of active cooling systems in machine tools2023 Procedia CIRP article Engineering Advanced Measurement and Metrology Techniques Open access cited by 1 patent
Daniel Reibert, Alexander Steinert, Daniel Zontar, Stephan Neus, Christian Brecher
5citations -
Thermal Characterization and Predictive Modeling of Thermo-Elastic Errors in Five-Axis Machining Centers Using Dynamic R-Test2025 Journal of Manufacturing and Materials Processing article Engineering Advanced Measurement and Metrology Techniques Open access
Tae Hun Lee, Tim Klinkhammer, Daniel Zontar, Christian Brecher
2citations -
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, +4 more
12citations -
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Engineering Advanced Memory and Neural Computing Open access
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
5citations