Felix Finkeldey
Felix Finkeldey
Verified email at tu-dortmund.de
Cited by
Cited by
Stability prediction in milling processes using a simulation-based Machine Learning approach
A Saadallah, F Finkeldey, K Morik, P Wiederkehr
Procedia CIRP 72, 1493–1498, 2018
Simulation of surface structuring considering the acceleration behaviour by means of spindle control
D Freiburg, F Finkeldey, M Hensel, P Wiederkehr, D Biermann
International Journal of Mechatronics and Manufacturing Systems 11 (1), 67–86, 2018
Tool wear-dependent process analysis by means of a statistical online monitoring system
F Finkeldey, S Hess, P Wiederkehr
Production Engineering 11 (6), 677–686, 2017
Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data
F Finkeldey, J Volke, JC Zarges, HP Heim, P Wiederkehr
Journal of Manufacturing Processes 60, 134–143, 2020
Learning-Based Prediction of Pose-Dependent Dynamics
F Finkeldey, A Wirtz, T Merhofe, P Wiederkehr
Journal of Manufacturing and Materials Processing 4 (3), 85, 2020
Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data
F Finkeldey, A Saadallah, P Wiederkehr, K Morik
Engineering Applications of Artificial Intelligence 94, 103753, 2020
Elaborated analysis of force model parameters in milling simulations with respect to tool state variations
S Hess, F Finkeldey, P Wiederkehr
Procedia CIRP 55, 83–88, 2016
Learning Ensembles in the Presence of Imbalanced Classes
A Saadallah, N Piatkowski, F Finkeldey, P Wiederkehr, K Morik
8th International Conference on Pattern Recognition Applications and Methods, 2019
Synchronization of measured and simulated force signals of milling processes
F Finkeldey
Technical report for Collaborative Research Center SFB 876 Providing …, 2019
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