Andreas Kimmig, M. Sc.

Andreas Kimmig, M. Sc.

  • Institut für Informationsmangement im Ingenieurwesen
    Zirkel 2, Geb. 20.20,
    D-76131 Karlsruhe

Forschungsschwerpunkt

Leitung der Forschungsgruppe "Artificial Intelligence"

Data Analytics, Machine Learning, Digitale Zwillinge, PLM & IoT-Plattform Ökosysteme

Lehre
Titel Typ Semester Ort
Projekt (PRO) jedes Semester

Publikationen


Product quality recognition and its industrial application based on lightweight machine learning
Peng, J.; Wang, D.; Kreuzwieser, S.; Kimmig, A.; Tao, X.; Wang, L.; Ovtcharova, J.
2024. Engineering Optimization, 1–26. doi:10.1080/0305215X.2024.2305242
Intention recognition-based human–machine interaction for mixed flow assembly
Peng, J.; Kimmig, A.; Wang, D.; Niu, Z.; Tao, X.; Ovtcharova, J.
2024. Journal of Manufacturing Systems, 72, 229 – 244. doi:10.1016/j.jmsy.2023.11.021
Human-Machine-Interaction in Innovative Work Environment 4.0 – A Human-Centered Approach
Kreuzwieser, S.; Kimmig, A.; Michels, F.; Bulander, R.; Häfner, V.; Bönsch, J.; Ovtcharova, J.
2023. New Digital Work – Digital Sovereignty at the Workplace. Ed.: A. Shajek, 68–86, Springer International Publishing. doi:10.1007/978-3-031-26490-0_ 5
A systematic review of data-driven approaches to fault diagnosis and early warning
Jieyang, P.; Kimmig, A.; Dongkun, W.; Niu, Z.; Zhi, F.; Jiahai, W.; Jiahai, W.; Liu, X.
2022. Journal of Intelligent Manufacturing, 34 (8), 3277–3304. doi:10.1007/s10845-022-02020-0
A subject-oriented reference model for Digital Twins
Bönsch, J.; Elstermann, M.; Kimmig, A.; Ovtcharova, J.
2022. Computers and Industrial Engineering, 172 (Part A), Art.-Nr.: 108556. doi:10.1016/j.cie.2022.108556
Concept for the Configuration of Turnkey Production Systems
Gönnheimer, P.; Kimmig, A.; Ehrmann, C.; Schlechtendahl, J.; Güth, J.; Fleischer, J.
2019. (F. Dietrich & N. Krenkel, Hrsg.) Procedia CIRP Hrsg.: Dietrich, Franz; Krenkel, Nicole, 86, 234–238. doi:10.1016/j.procir.2020.01.047
Final Report Sino-German Industry 4.0 Factory Automation Platform
Albers, A.; Ovtcharova, J.; Becker, J.; Lanza, G.; Zhang, W.; Zhang, T.; Qiao, F.; Ma, Y.; Wang, J.; Wu, Z.; Ehrmann, C.; Gönnheimer, P.; Behrendt, M.; Mandel, C.; Stürmlinger, T.; Klippert, M.; Kimmig, A.; Schade, F.; Yang, S.; Heider, I.; Xie, S.; Song, K.; Peng, J.; Goncalves, P.; Kampfmann, R.; Schlechtendahl, J.; Kattner, J.; Straub, C.; May, M.; Zhu, Z.; Bai, O.; Lin, Y.; Yang, Z.; Ding, L.; Rossol, A.-S.
2022. (J. Fleischer, Hrsg.), Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000143693
Wertstromkinematik – Produktionssysteme neu gedacht: Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 2)
Kimmig, A.; Schöck, M.; Mühlbeier, E.; Oexle, F.; Fleischer, J.; Bönsch, J.; Ovtcharova, J.; Hahn, J.; Grunwald, A.; Albers, A.; Rapp, S.; Hagenmeyer, V.; Scholz, S. G.; Schmidt, A.; Müller, T.; Becker, J.; Schade, F.; Beyerer, J.; Rehak, J.; Zwick, T.; Pauli, M.; Nuß, B.; Lanza, G.; Schild, L.; Overbeck, L.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (12), 935–939. doi:10.1515/zwf-2021-0207
Wind turbine failure prediction and health assessment based on adaptive maximum mean discrepancy
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Wang, D.; Ovtcharova, J.
2022. International journal of electrical power & energy systems, 134, Art.Nr. 107391. doi:10.1016/j.ijepes.2021.107391
Dual-stage attention-based long-short-term memory neural networks for energy demand prediction
Peng, J.; Kimmig, A.; Wang, J.; Liu, X.; Niu, Z.; Ovtcharova, J.
2021. Energy and buildings, 249, Art.-Nr.: 111211. doi:10.1016/j.enbuild.2021.111211
Human-Centered Referential Process Models for AI Application
Elstermann, M.; Bönsch, J.; Kimmig, A.; Ovtcharova, J.
2021. Human Centred Intelligent Systems: Proceedings of KES-HCIS 2021 Conference. Ed.: A. Zimmermann, 56–65, Springer. doi:10.1007/978-981-16-3264-8_6
A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework
Peng, J.; Kimmig, A.; Niu, Z.; Wang, J.; Liu, X.; Ovtcharova, J.
2021. Applied Energy, 299, Art.-Nr.: 117321. doi:10.1016/j.apenergy.2021.117321
The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining
Peng, J.; Wang, J.; Wang, D.; Kimmig, A.; Ovtcharova, J.
2020. Advances in Swarm Intelligence – 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings. Ed.: Y. Tan, 104–116, Springer International Publishing. doi:10.1007/978-3-030-53956-6_10
Methodical approach for the development of a platform for the configuration and operation of turnkey production systems
Gönnheimer, P.; Kimmig, A.; Mandel, C.; Stürmlinger, T.; Yang, S.; Schade, F.; Ehrmann, C.; Klee, B.; Behrendt, M.; Schlechtendahl, J.; Fischer, M.; Trautmann, K.; Fleischer, J.; Lanza, G.; Ovtcharova, J.; Becker, J.; Albers, A.
2019. Procedia CIRP, 84, 880–885. doi:10.1016/j.procir.2019.04.260