Dominik Kißkalt



Organisation


Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik


Publications (Download BibTeX)


Mayr, A., Lutz, B., Weigelt, M., Gläßel, T., Seefried, J., Kißkalt, D., & Franke, J. (2019). Elektromotorenproduktion 4.0: Potenziale des maschinellen Lernens in der Elektromotorenproduktion am Beispiel des Laserschweißens von Hairpins. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 114(3), 145-149. https://dx.doi.org/10.3139/104.112051
Kißkalt, D., Fleischmann, H., Kreitlein, S., Knott, M., & Franke, J. (2018). A novel approach for data‑driven process and condition monitoring systems on the example of mill‑turn centers. Production Engineering. https://dx.doi.org/10.1007/s11740-018-0797-0
Mayr, A., Lutz, B., Weigelt, M., Gläßel, T., Kißkalt, D., Masuch, M.,... Franke, J. (2018). Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings. In Proceedings of the 8th International Electric Drives Production Conference (EDPC). Schweinfurt.
Kißkalt, D., Mayr, A., von Lindenfels, J., & Franke, J. (2018). Towards a Data-Driven Process Monitoring for Machining Operations Using the Example of Electric Drive Production. In Proceedings of the 8th International Electric Drives Production Conference (EDPC). Schweinfurt.
Fleischmann, H., Spreng, S., Kohl, J., Kißkalt, D., & Franke, J. (2016). Distributed Condition Monitoring Systems in Electric Drives Manufacturing. In Electric Drives Electric Drives Production (pp. 52 - 57). Nürnberg, DE.

Last updated on 2017-19-11 at 04:53