Publikation
On Bringing Fault Detection to Skill-Based Production
Pascal Rübel; William Motsch; Hendrik Schäfer; Martin Ruskowski
In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), September 19, Kaiserslautern, Germany, Pages 24-34, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.
Zusammenfassung
In the context of Industrie 4.0, modular and skill-based production enables the manufacturing of small batch sizes. This leads to increased complexity of dynamic manufacturing contexts due to more constellations of cyber-physical production modules, skills, and products. However, even existing approaches aiming to enhance efficient and resilient production, fault detection applications, usually requiring big amounts of data or knowledge, remains mainly unnoticed. Against this background, it is the objective of this paper to develop a model that extends skill-based production by means of incorporating automated fault detection. This includes the identification of required fault detection components as well as its integration into the process control for executing skills.