This page lists the publications produced within the context of ProKInect.
Whitepapers
In order to present the results in a compact and generally understandable way, five white papers are presented in the following section.
- Whitepaper 1: Presentation of ProKInect, the objectives and the business opportunities
- Whitepaper 2: Reliability analysis as the basis for the development of the proKInect approach
- Whitepaper 3: AI engineering and functional architecture
- Whitepaper 4: Technical implementation of function blocks with the help of AI methods
- Whitepaper 5: Multilateral Data Sharing in Secure Data Spaces
Scientific publications
In this section, the scientific papers written within ProKInect are referred to.
- S. Kupjetz, W. Zenn and S. Röding, „Presentation of a causal model of relevant failure patterns for the development of knowledge-based AI models using the example of machine tools,” 31. VDI-Fachtagung Technische Zuverlässigkeit 2023, Nürtingen, Germany
https://doi.org/10.24406/publica-1792
- W. Zenn, A. Keck, M. Beck, S. Herold and T. Melz, “Automated backlash determination on rack-and-pinion drives,” 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seattle, WA, USA, 2023, pp. 1202-1207
Automated backlash determination on rack-and-pinion drives | IEEE Conference Publication | IEEE Xplore - W. Zenn, A. Ast, S. Herold and T. Melz. “Simulation of backlash on rack-and-pinion axes for condition monitoring purposes,” 2023, International Conference on Data-Integrated Simulation Science (SimTech2023), Stuttgart, Germany, 2023
Simulation of backlash on rack-and-pinion axes (uni-stuttgart.de) - W. Zenn, J. Butz and J. Millitzer, “Knowledge-Based AI Model for the Detection of Pinion Wear,” 2023 7th International Conference on System Reliability and Safety (ICSRS), Bologna, Italy, 2023, pp. 428-433
Knowledge-Based AI Model for the Detection of Pinion Wear | IEEE Conference Publication | IEEE Xplore
Lectures
- Lageregelseminar 2023, Institut für Steuerungstechnik der Werzeugmaschinen und Fertigungseinrichtungen (SW) Universität Stuttgart, 12. & 13.9.2023: Kollaborative Zustandsdiagnose von Werkzeugmaschinen am Beispiel einer automatischen Überwachung von Zahnstange-Ritzel-Spiel in 2D-Laserschneidmaschinen, Wiebke Zenn, TRUMPF SE + Co. KG
- MathWorks Day for Machinebuilder, Mathworks München, 11.10.2023: Umkehrspiel im Zahnstange-Ritzel-Antrieb (Simulation zur Analyse, Trainingsdaten erstellen, KI-Modell erstellen & Trainieren, Auswerten…) Dominik Scheller und Wiebke Zenn, TRUMPF SE + Co. KG
- Infotag Simulation und Visualisierung, VDMA Frankfurt, 23.11.2023: KI unterstützte virtuelle Produktentwicklung durch Analysen und Trainingsdatenerzeugung zur Fehlerdiagnose an Zahnstange-Ritzel-Antrieben Alexandra Ast und Wiebke Zenn, TRUMPF SE + Co. KG
Contact
- Fraunhofer Institute for Structural Durability and System Reliability LBFBartningstraße 47 64289 Darmstadt
- +49 6151 705-0
- jonathan.millitzer@lbf.fraunhofer.de