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Verena Tessaro
PhD student
Coppenrath Innovation Centre
Hamburger Straße 24
LOK 15, Raum 01.14.03A
49084 Osnabrück
Tel.: +49 541 969-6341
Digital Twin Driven Predictive Maintenance for High-Precision Agricultural Machinery
Joint degradation is a key factor limiting the performance of parallel kinematic robots like the Jaetrobi, developed at Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) for automatic, herbicide-free weeding using a laser. This work will focus on evaluating the long-term precision of Jaetrobi’s actuation system using a dedicated test rig with identical laser kinematics, which enables repeatable simulation of wear through defined motion patterns. Detailed analysis of joint fatigue and wear propagation will be applied toward a digital twin model that quantifies wear per movement and estimates component end-of-life. This predictive maintenance approach will support wear-optimized motion strategies, enabling synchronized joint replacement and thereby minimizing operational downtime and improving overall system reliability.
Project team: Verena Tessaro (Ph.D. Student), Prof. Dr.-Ing. Mario Porrmann (UOS), Prof. Dr.-Ing. Cornelia Weltzien (ATB), Prof. Dr.-Ing. Heiko Tapken (HOS)
GIL Tagung 2024
Find the digital version of the conference poster here: GIL 2024 POSTER