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

• Selmaier A., Kunz D., Kißkalt D., Benaziz M., Fürst J., Franke J.:
  Artificial Intelligence‐Based Assistance System for Visual Inspection of X‐ray Scatter Grids
  In: Sensors 22 (2022), Article No.: 811
  ISSN: 1424-8220
  DOI: 10.3390/s22030811
  URL: https://www.mdpi.com/1424-8220/22/3/811
  BibTeX: Download

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

• Fleischmann H., Spreng S., Kohl J., Kißkalt D., Franke J.:
  Distributed Condition Monitoring Systems in Electric Drives Manufacturing
  2016 6th International Electric Drives Production Conference (EDPC) (Nürnberg, 30. November 2016 - 1. December 2016)
  In: Electric Drives Electric Drives Production 2016
  DOI: 10.1109/EDPC.2016.7851314
  URL: http://ieeexplore.ieee.org/document/7851314/
  BibTeX: Download