Publications
2023
- Lutz B., Janisch L., Kißkalt D., Regulin D., Franke J.:
Interactive Image Segmentation Using Superpixels and Deep Metric Learning for Tool Condition Monitoring
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022 (Naples, ITA, 13. July 2022 - 15. July 2022)
In: Roberto Teti, Doriana D'Addona (ed.): Procedia CIRP 2023
DOI: 10.1016/j.procir.2023.06.079
BibTeX: Download - Mayr A., Scheffler F., Fuder R., Raffin T., Kißkalt D., Franke J.:
Data-driven quality monitoring of needle winding processes in electric motor production using machine learning techniques
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022 (Naples, ITA, 13. July 2022 - 15. July 2022)
In: Roberto Teti, Doriana D'Addona (ed.): Procedia CIRP 2023
DOI: 10.1016/j.procir.2023.06.150
BibTeX: Download
2022
2021
- Kißkalt D., Mayr A.:
Maschinelles Lernen in der Produktion
(2021), p. 46 - 47
Open Access: https://wbm-publish.blaetterkatalog.de/frontend/mvc/catalog/by-name/INP?catalogName=INP2107D
URL: https://wbm-publish.blaetterkatalog.de/frontend/mvc/catalog/by-name/INP?catalogName=INP2107D
BibTeX: Download
(Zeitungsartikel) - Lutz B., Kißkalt D., Regulin D., Aybar B., Franke J.:
Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks
17th IEEE International Conference on Automation Science and Engineering, CASE 2021 (Lyon, FRA, 23. August 2021 - 27. August 2021)
In: IEEE International Conference on Automation Science and Engineering 2021
DOI: 10.1109/CASE49439.2021.9551632
BibTeX: Download - Lutz B., Kißkalt D., Regulin D., Hauser T., Franke J.:
Material identification for smart manufacturing systems: A review
4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021 (Virtual, Online, 10. May 2021 - 13. May 2021)
In: Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021 2021
DOI: 10.1109/ICPS49255.2021.9468191
BibTeX: Download - Selmaier A., Lutz B., Kißkalt D., Boernicke S., Fuerst J., Franke J.:
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks
20th IEEE International Conference on Machine Learning and Applications (ICMLA) (, ELECTR NETWORK)
In: 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), NEW YORK: 2021
DOI: 10.1109/ICMLA52953.2021.00140
BibTeX: Download - Sjarov M., Kißkalt D., Lechler T., Selmaier A., Franke J.:
Towards “Design for Interoperability” in the context of Systems Engineering
In: Procedia CIRP 96 (2021), p. 145-150
ISSN: 2212-8271
DOI: 10.1016/j.procir.2021.01.067
BibTeX: Download
2020
- Bakakeu J., Kißkalt D., Franke J., Baer S., Klos HH., Peschke J.:
Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems
2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 (London, ON, 30. August 2020 - 2. September 2020)
In: Canadian Conference on Electrical and Computer Engineering 2020
DOI: 10.1109/CCECE47787.2020.9255795
BibTeX: Download - Kißkalt D., Mayr A., Lutz B., Rögele A., Franke J.:
Streamlining the development of data-driven industrial applications by automated machine learning
53rd CIRP Conference on Manufacturing Systems, CMS 2020 (Chicago, IL, 1. July 2020 - 3. July 2020)
In: Robert X. Gao, Kornel Ehmann (ed.): Procedia CIRP 2020
DOI: 10.1016/j.procir.2020.04.009
BibTeX: Download - Lutz B., Kißkalt D., Mayr A., Regulin D., Pantano M., Franke J.:
In-situ identification of material batches using machine learning for machining operations
In: Journal of Intelligent Manufacturing (2020)
ISSN: 0956-5515
DOI: 10.1007/s10845-020-01718-3
BibTeX: Download - Lutz B., Kißkalt D., Regulin D., Franke J.:
AI-based approach for predicting the machinability under consideration of material batch deviations in turning processes
In: Procedia CIRP 93 (2020), p. 1382-1387
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.04.100
URL: https://www.sciencedirect.com/science/article/pii/S2212827120307344?via=ihub
BibTeX: Download - Lutz B., Reisch R., Kißkalt D., Avci B., Regulin D., Knoll A., Franke J.:
Benchmark of automated machine learning with state-of-the-art image segmentation algorithms for tool condition monitoring
In: Procedia Manufacturing 51 (2020), p. 215-221
ISSN: 2351-9789
DOI: 10.1016/j.promfg.2020.10.031
URL: https://www.sciencedirect.com/science/article/pii/S2351978920318862?via=ihub#!
BibTeX: Download - Mayr A., Kißkalt D., Lomakin A., Graichen K., Franke J.:
Towards an intelligent linear winding process through sensor integration and machine learning techniques
8th CIRP Global Web Conference – Flexible Mass Customisation (CIRPe 2020) (, 14. October 2020 - 16. October 2020)
DOI: 10.1016/j.procir.2021.01.056
BibTeX: Download
2019
- Donhauser T., Kißkalt D., Mayr A., Scholz M., Schuderer P., Franke J.:
Integration maschineller Lernverfahren in eine Materialflusssimulation zur Verhaltensabstraktion und -vorhersage komplexer Fertigungssysteme
In: Putz, Matthias; Schlegel, Andreas (ed.): ASIM 2019 - Simulation in Produktion und Logistik, Auerbach /Vogtl.: Wissenschaftliche Scripten, 2019, p. 19-28
ISBN: 978-3-95735-113-5
URL: http://www.asim-fachtagung-spl.de/asim2019/papers/02_Proof_156.pdf
BibTeX: Download - Lutz B., Kißkalt D., Regulin D., Reisch R., Schiffler A., Franke J.:
Evaluation of deep learning for semantic image segmentation in tool condition monitoring
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) (Boca Raton, Florida)
In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) 2019
DOI: 10.1109/ICMLA.2019.00321
BibTeX: Download - Mayr A., Kißkalt D., Meiners M., Lutz B., Schäfer F., Seidel R., Selmaier A., Fuchs J., Metzner M., Blank A., Franke J.:
Machine Learning in Production – Potentials, Challenges and Exemplary Applications
7th CIRP Global Web Conference – Towards shifted production value stream patterns through inference of data, models, and technology (CIRPe 2019) (Online, 16. October 2019 - 18. October 2019)
In: Procedia CIRP 2019
DOI: 10.1016/j.procir.2020.01.035
URL: https://www.sciencedirect.com/science/article/pii/S2212827120300445?via=ihub
BibTeX: Download - Mayr A., Lutz B., Weigelt M., Gläßel T., Seefried J., Kißkalt D., Franke J.:
Elektromotorenproduktion 4.0: Potenziale des maschinellen Lernens in der Elektromotorenproduktion am Beispiel des Laserschweißens von Hairpins
In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (2019), p. 145-149
ISSN: 0932-0482
DOI: 10.3139/104.112051
URL: https://www.hanser-elibrary.com/doi/abs/10.3139/104.112051
BibTeX: Download - Mayr A., Seefried J., Ziegler M., Masuch M., Mahr A., von Lindenfels J., Meiners M., Kißkalt D., Metzner M., Franke J.:
Machine Learning in Electric Motor Production - Potentials, Challenges and Exemplary Applications
2019 9th International Electric Drives Production Conference (E|DPC) (Esslingen, 3. December 2019 - 4. December 2019)
In: 2019 9th International Electric Drives Production Conference (EDPC) 2019
DOI: 10.1109/EDPC48408.2019.9011861
URL: https://ieeexplore.ieee.org/document/9011861/
BibTeX: Download - Seidel R., Mayr A., Schäfer F., Kißkalt D., Franke J.:
Towards a Smart Electronics Production Using Machine Learning Techniques
42nd International Spring Seminar on Electronics Technology (ISSE) (Wroclaw, 15. September 2019 - 19. May 2019)
In: 2019 42nd International Spring Seminar on Electronics Technology (ISSE) 2019
DOI: 10.1109/ISSE.2019.8810176
URL: https://ieeexplore.ieee.org/document/8810176
BibTeX: Download
2018
- Kißkalt D., Fleischmann H., Kreitlein S., Knott M., Franke J.:
A novel approach for data‑driven process and condition monitoring systems on the example of mill‑turn centers
In: Production Engineering (2018)
ISSN: 0944-6524
DOI: 10.1007/s11740-018-0797-0
URL: https://link.springer.com/article/10.1007/s11740-018-0797-0
BibTeX: Download - Kißkalt D., Mayr A., von Lindenfels J., Franke J.:
Towards a Data-Driven Process Monitoring for Machining Operations Using the Example of Electric Drive Production
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. December 2018 - 5. December 2018)
DOI: 10.1109/EDPC.2018.8658293
URL: https://ieeexplore.ieee.org/document/8658293
BibTeX: Download - Mayr A., Lutz B., Weigelt M., Gläßel T., Kißkalt D., Masuch M., Riedel A., Franke J.:
Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings
8th International Electric Drives Production Conference (EDPC) (Schweinfurt, 4. December 2018 - 5. December 2018)
DOI: 10.1109/EDPC.2018.8658346
URL: https://ieeexplore.ieee.org/document/8658346
BibTeX: Download
2016