| Machine learning in production–potentials, challenges and exemplary applications A Mayr, D Kißkalt, M Meiners, B Lutz, F Schäfer, R Seidel, A Selmaier, ... Procedia CIRP 86, 49-54, 2019 | 80 | 2019 |
| Application scenarios of artificial intelligence in electric drives production A Mayr, M Weigelt, M Masuch, M Meiners, F Hüttel, J Franke Procedia Manufacturing 24, 40-47, 2018 | 41 | 2018 |
| Deep learning-based automated optical inspection system for crimp connections HG Nguyen, M Meiners, L Schmidt, J Franke 2020 10th International Electric Drives Production Conference (EDPC), 1-5, 2020 | 13 | 2020 |
| Prediction of the Joint Cross-Section of Laser-Welded Hairpin Windings Based on 2D Image Data Using Convolutional Neural Networks A Mayr, L Hauck, M Meiners, J Franke 2020 10th International Electric Drives Production Conference (EDPC), 1-7, 2020 | 11 | 2020 |
| Process curve analysis with machine learning on the example of screw fastening and press-in processes M Meiners, A Mayr, J Franke Procedia Cirp 97, 166-171, 2021 | 10 | 2021 |
| Camera-based fall detection system with the service robot sanbot ELF J Bauer, L Gründel, J Seßner, M Meiners, M Lieret, T Lechler, C Konrad, ... Smart Public Building 2018 Conference Proceedings, Stuttgart, DE, 15-28, 2018 | 10 | 2018 |
| Towards an inline quality monitoring for crimping processes utilizing machine learning techniques M Meiners, A Mayr, M Kuhn, B Raab, J Franke 2020 10th International Electric Drives Production Conference (EDPC), 1-6, 2020 | 9 | 2020 |
| Machine learning in electric motor production-potentials, challenges and exemplary applications A Mayr, J Seefried, M Ziegler, M Masuch, A Mahr, J Lindenfels, M Meiners, ... 2019 9th international electric drives production conference (EDPC), 1-10, 2019 | 9 | 2019 |
| Manufacturing process curve monitoring with deep learning M Meiners, M Kuhn, J Franke Manufacturing Letters 30, 15-18, 2021 | 7 | 2021 |
| Application of machine learning for product batch oriented control of production processes M Meiners, A Mayr, M Thomsen, J Franke Procedia CIRP 93, 431-436, 2020 | 6 | 2020 |
| Evaluation of energy measurements for error detection in press-fitting processes C Sand, M Meiners, J Eberle, J Franke 2018 2nd International Symposium on Small-scale Intelligent Manufacturing …, 2018 | 6 | 2018 |
| Concept for a virtual process data linkage of assembly stations and a dynamic envelope curve for process monitoring C Sand, M Meiners, J Daberkow, J Franke 2016 6th International Electric Drives Production Conference (EDPC), 224-227, 2016 | 6 | 2016 |
| Innovative signal and power connection solutions for alternative powertrain concepts S Fröhlig, N Piechulek, M Friedlein, R Süß-Wolf, L Schmidt, MKH Nguyen, ... 2020 10th International Electric Drives Production Conference (EDPC), 1-7, 2020 | 5 | 2020 |
| Potentials for energy saving and quality improvement of assembly presses using data mining C Sand, M Seidl, C Leinauer, M Neuner, M Meiners, S Baumann, ... Applied Mechanics and Materials 856, 82-90, 2017 | 5 | 2017 |
| Three-dimensional pose estimation of deformable linear object tips based on a low-cost, two-dimensional sensor setup and AI-based evaluation S Fröhlig, MF auf Mayerhofen, M Meiners, J Franke Procedia CIRP 107, 499-504, 2022 | 4 | 2022 |
| Concept of a Machine Learning supported Cross-Machine Control Loop in the Ramp-Up of Large Series Manufacturing M Meiners, J Franke 2020 IEEE 11th International Conference on Mechanical and Intelligent …, 2020 | 4 | 2020 |
| Accelerated Production Ramp-Up Utilising Clustering and Visualisation of Process Chain Interrelationships M Meiners, A Mayr, T Lechler, J Franke 2019 9th International Electric Drives Production Conference (EDPC), 1-5, 2019 | 3 | 2019 |
| Ganzheitliche und auf maschinellen Lernverfahren basierende Qualitätsüberwachung: Wie datenbasierte Ansätze die Prozesssicherheit in der Kontaktverarbeitungsbranche … H Giang Nguyen, A Scheck, B Hofmann, M Meiners, S Neubauer, ... Zeitschrift für wirtschaftlichen Fabrikbetrieb 118 (4), 198-203, 2023 | | 2023 |
| Toward a structured concept for purpose-driven modeling of a digital shadow in manufacturing T Reichenstein, SG Koustas, A Roβner, M Meiners, J Franke Procedia CIRP 119, 816-821, 2023 | | 2023 |
| Current Distribution Monitoring in Capacitor Discharge Welding M Meiners, T Reichenstein, J Franke, R Hauenstein 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | | 2020 |
Jörg FrankeFriedrich-Alexander University of Erlangen-NürnbergEmail yang diverifikasi di faps.uni-erlangen.de
