Publications

Xuan Luu Hoang, Alexander Fay, Philipp Marks, and Michael Weyrich. Industrial Application of a MDM-based Approach for Generation and Impact Analysis of Adaptation Options - a Case Study. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018. [PUMA: ias] URL

Jan-Philipp Schmidt, Timo Müller, and Michael Weyrich. Methodology for the model driven development of service oriented plant controls. Procedia CIRP, (67):173-178, January 2018. [PUMA: ias from:sekretariatias] URL

C. Ebert, and M. Weyrich. Validation of Autonomous Vehicles. ATZ elektronik, vol. 14, no. 9, pp. 26-32, 2019. [PUMA: 2019validierungundverifikation ias] URL

Benjamin Maschler, and Michael Weyrich. Deep Transfer Learning for Industrial Automation. IEEE Industrial Electronics Magazine, vol. 15, no. 2, pp. 65-75, June 2021, 2021. [PUMA: 2021ias ias] URL

Mathias Liewald, Celalettin Karadogan, Alexander Felde, Nasser Jazdi, Benjamin Lindemann, and Michael Weyrich. Werkstückverfolgung und adaptive Steuerung beim Gesenkschmieden. Fachzeitschrift Massivumformung, Industrieverband Massivumformung e. V., Ausgabe März 2021, 2021. [PUMA: 2021ias ias] URL

B. Ashtari Talkhestani, T. Jung, B. Lindemann, N. Sahlab, N. Jazdi, W. Schloegl, and M Weyrich. An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. at - Automatisierungstechnik, Band 67, Heft 9, Seiten 762–782, 2019. [PUMA: 2019digitalerzwillingundmodelle bigdataanalytics plugandsimulate digitalerzwilling ias] URL

Dorothea Pantförder, Felix Mayer Mayer, Christian Diedrich, Peter Göhner, Michael Weyrich, and Birgit Vogel-Heuser. Agentenbasierte dynamische Rekonfiguration von vernetztenintelligenten Produktionsanlagen – Evolution statt Revolution. Industrie 4.0 in Produktion, Automatisierung und Logistik, Springer Vieweg, Berlin, Heidelberg, 2014, 145-158, 2014. [PUMA: 2014ias ias]

Michael Weyrich, Tobias Jung, and Christof Ebert. Referenzarchitekturen für das IoT: Überblick zum Stand der Technik und wesentlichen Trends. OBJEKTspektrum, 6/2016:23-29, November 2016. [PUMA: 2016agententechnologieunditarchitektur 2016ias ias] URL

Benjamin Maschler, Simon Kamm, and Michael Weyrich. Deep industrial transfer learning at runtime for image recognition. at - Automatisierungstechnik, vol. 69, no. 3, pp. 211-220, 03.2021, 2021. [PUMA: 2021ias ias] URL

F. G. Listl, J. Fischer, D. Beyer, and M. Weyrich. Knowledge Representation in Modeling and Simulation: A survey for the production and logistic domain. 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 1051-1056, 2020. [PUMA: 2020digitalerzwillingundmodelle 2020ias ias] URL

Sheng Ding, Andrey Morozov, Silvia Vock, Michael Weyrich, and Klaus Janschek. Model-Based Error Detection for Industrial Automation Systems Using LSTM Networks. In: International Symposium on Model-Based Safety and Assessment, pp. 212-226. Springer, Cham, 2020. [PUMA: 2020ias ias 2020kiundmachinelearning] URL

Michael Weyrich. Zum Forschungsportfolio des IAS: Institut für Automatisierungstechnik und Softwaresysteme, Universität Stuttgart. VDMA-Sammlung "Industrie 4.0 - Forschung an deutschen Forschungsinstituten - ein Überblick", VDMA, Neuauflage 2019, 14.10.2019, 2019. [PUMA: 2019applikationen ias] URL

Mathias Liewald, Celalettin Karadogan, Benjamin Lindemann, Nasser Jazdi, and Michael Weyrich. On the tracking of individual workpieces in hot forging plants. CIRP Journal of Manufacturing Science and Technology, (22):116 - 120, Elsevier, August 2018. [PUMA: bigdataanalytics 2018applikation ias] URL

Christof Ebert, Michael Weyrich, Benjamin Lindemann, and Sarada Preethi Chandrasekar. Systematic Testing for Autonomous Driving. ATZ elektronik, vol. 16, no. 3, pp. 26-30, 2021. [PUMA: 2021ias ias] URL

Timo Müller, Simon Kamm, Andreas Löcklin, Dustin White, Marius Mellinger, Nasser Jazdi, and Michael Weyrich. Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems. International Journal of Computer Integrated Manufacturing, September, 2022, 2022. [PUMA: 2022ias ias] URL

Benjamin Maschler, Tercan Hasan, Christian Bitter, Hannes Vietz, Tobias Meisen, and Michael Weyrich. Industrielles Transfer-Lernen - Von der Wissenschaft in die Praxis. atp-Magazin, August 2022, pp.86-93, Juni 2022, 2022. [PUMA: 2022ias ias] URL

Yuchen Xia, Zhewen Xiao, Nasser Jazdi, and Michael Weyrich. Generation of Asset Administration Shell with Large Language Model Agents: Interoperability in Digital Twins with Semantic Node. arXiv preprint arXiv:2403.17209, 2024. [PUMA: 2024ias ias]

Tagir Fabarisov, Andrey Morozov, Ilshat Mamaev, and Philipp Grimmeisen. FIDGET: Deep Learning-Based Fault Injection Framework for Safety Analysis and Intelligent Generation of Labeled Training Data. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September 2022, 2022. [PUMA: 2022ias ias]

Golsa Ghasemi, Manuel Müller, Nasser Jazdi, and Michael Weyrich. Quality Analysis Framework based on Complexity for Change Management Using Intelligent Digital Twin. Procedia CIRP, (120):1516-1521, January 2023. [PUMA: 2023ias ias]

Valentin Stegmaier, Daniel Dittler, Nasser Jazdi, and Michael Weyrich. Influence of Solvers and their Characteristics on Simulation Time and Accuracy Exemplified for a Vacuum Gripping System. Procedia CIRP, (120):714-719, January 2023. [PUMA: 2023ias ias]