Moritz Meiners

Machine Learning in Production – Potentials, Challenges and Exemplary Applications

Maximilian Metzner, Moritz Meiners, Jonathan Fuchs, 2019, Procedia CIRP.

Towards an Inline Quality Monitoring for Crimping Processes Utilizing Machine Learning Techniques

J. Franke, A. Mayr, Marlene Kuhn, 2020, International Electric Drives Production Conference.

Machine Learning in Electric Motor Production - Potentials, Challenges and Exemplary Applications

Jörg Franke, Maximilian Metzner, Andreas Mayr, 2019, 2019 9th International Electric Drives Production Conference (EDPC).

Manufacturing process curve monitoring with deep learning

Moritz Meiners, Marlene Kuhn, Jörg Franke, 2021, Manufacturing Letters.

Process curve analysis with machine learning on the example of screw fastening and press-in processes

Andreas Mayr, Jörg Franke, Moritz Meiners, 2021 .

Application Scenarios of Artificial Intelligence in Electric Drives Production

Jörg Franke, Moritz Meiners, Andreas Mayr, 2018 .

Potentials for Energy Saving and Quality Improvement of Assembly Presses Using Data Mining

Jörg Franke, Moritz Meiners, Christian Sand, 2016 .

Concept of a Machine Learning supported Cross-Machine Control Loop in the Ramp-Up of Large Series Manufacturing

Jörg Franke, Moritz Meiners, J. Franke, 2020, 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT).

Toward a structured concept for purpose-driven modeling of a digital shadow in manufacturing

Jörg K.H. Franke, Tobias Reichenstein, Moritz Meiners, 2023, Procedia CIRP.

Prediction of the Joint Cross-Section of Laser-Welded Hairpin Windings Based on 2D Image Data Using Convolutional Neural Networks

J. Franke, A. Mayr, Moritz Meiners, 2020, 2020 10th International Electric Drives Production Conference (EDPC).