Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays
F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14.

Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control
M. Pena, M. Meyer, O. Wallscheid, J. Böcker, in: 2023 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2023.

Finite-Set Direct Torque Control via Edge Computing-Assisted Safe Reinforcement Learning for a Permanent Magnet Synchronous Motor
M. Schenke, B. Haucke-Korber, O. Wallscheid, IEEE Transactions on Power Electronics (2023) 1–16.

Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors
B. Haucke-Korber, M. Schenke, O. Wallscheid, in: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC), IEEE, 2023.

Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives
F. Book, A. Traue, M. Schenke, B. Haucke-Korber, O. Wallscheid, in: 2023 IEEE International Electric Machines &;amp; Drives Conference (IEMDC), IEEE, 2023.

Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines
M. Pena, M. Meyer, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 38 (2023) 12416–12429.

Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control
E.G. Gedlu, O. Wallscheid, J. Böcker, O. Nelles, in: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023.

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time
F. Winkel, P. Scholz, O. Wallscheid, J. Böcker, IEEE Transactions on Automation Science and Engineering (2023) 1–11.

An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: Proc. 37th IEEE Applied Power Electronics Conference (APEC), IEEE, Houston, TX, USA, n.d.

Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2022).

Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control
A. Brosch, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics (2022).

Experimental Comparison of FPGA-Implemented Model Predictive Voltage Control to Cascaded Proportional Resonant Control for a Three-Phase Four-Wire Three-Level Grid-Forming Inverter of 250 kVA
J. Lange, D. Schmies, K.S.C. Stille, J. Böcker, O. Wallscheid, in: EPE’22 ECCE Europe, IEEE, Hannover, 2022.

Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions
M. Stender, M. Becker, O. Wallscheid, J. Böcker, in: 48th Annual Conference of the Industrial Electronics Society (IECON), 2022.

An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: 2022 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE, 2022.

An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components
N. Förster, T. Piepenbrock, P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, in: PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2022, pp. 1–10.

Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors
B. Haucke-Korber, M. Schenke, O. Wallscheid, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning
W. Kirchgässner, O. Wallscheid, J. Böcker, Engineering Applications of Artificial Intelligence 117 (2022).

Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022.

LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto
P. Rehlaender, O. Wallscheid, F. Schafmeister, J. Böcker, IEEE Transactions on Power Electronics 37 (2022) 13413–13427.

Application of Thermal Neural Networks on a Small-Scale Electric Motor
W. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, J. Böcker, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.