Meike Wohlleben

Dynamics and Mechatronics (LDM)

Research Associate

Hybrid Modeling

E-Mail:
meike.wohlleben@uni-paderborn.de
Phone:
+49 5251 60-1810
Web:
Homepage
Office Address:
Pohlweg 47-49
33098 Paderborn
Room:
P1.3.32.0
Office hours:

by appointment

Publications

Latest Publications

Hybrid modeling of multibody systems: Comparison of two discrepancy models for trajectory prediction

M.C. Wohlleben, B. Röder, H. Ebel, L. Muth, W. Sextro, P. Eberhard, PAMM n/a (2024) e202400027.

DOI

The impact of AI on engineering design procedures for dynamical systems

K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, The Impact of AI on Engineering Design Procedures for Dynamical Systems, 2024.

DOI

Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits

M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied Mathematics and Mechanics, Wiley, 2023.

DOI

Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction

M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.

DOI

Rule-based Diagnostics of a Production Line

O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P. Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021, pp. 527–536.

DOI

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