AndreasKimmig

M.Sc. Andreas Kimmig

  • Institut für Informationsmangement im Ingenieurwesen
    Kriegsstraße 77
    D-76131 Karlsruhe

Research Focus

Data Analytics, Machine Learning

Teaching
title type semester place
Practical Course winter term and sommer term during the semester break
Practical Course winter term and sommer term during the semester break
Lecture Winter term 2019/2020

Bld. 30.41; Chemie-Hörsaal Nr. 2 (HS2)

WS + SS

Publications


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. 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, Eds.) 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, Ed.), 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