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7248 Publications
2021 | Conference Paper | LibreCat-ID: 30031
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach,” 2021, doi: 10.1109/pemc48073.2021.9432615.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30029
M. Stender, O. Wallscheid, and J. Böcker, “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor,” 2021, doi: 10.1109/iecon48115.2021.9589225.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30032
M. Stender, O. Wallscheid, and J. Böcker, “Gray-Box Loss Model for Induction Motor Drives,” 2021, doi: 10.1109/pemc48073.2021.9432491.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 29665
S. Hanke, O. Wallscheid, and J. Böcker, “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor,” 2021, doi: 10.1049%2Ficp.2021.1122.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21254
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid, “gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 25031
M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21557
A. Brosch, O. Wallscheid, and J. Böcker, “Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors,” IEEE Transactions on Industrial Informatics, 2021, doi: 10.1109/tii.2021.3060469.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30217
S. Coy et al., “Near-Shortest Path Routing in Hybrid Communication Networks,” in 25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France, 2021, vol. 217, p. 11:1–11:23, doi: 10.4230/LIPIcs.OPODIS.2021.11.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 30340
M. Hagemeyer, P. Wallmeier, F. Schafmeister, and J. Böcker, “Comparison of unidirectional Three- and Four-Wire based Boost PFC-Rectifier Topologies for Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects,” in Proc. 36th IEEE Applied Power Electronics Conference (APEC), Phoenix, AZ, USA, 2021, pp. 569–576.
LibreCat
2021 | Newspaper Article | LibreCat-ID: 30348
F. Schafmeister, “Transformerless On-Board Chargers at Three- and Single-Phase Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage,” Power System Design (PSD) Web Magazine, 2021.
LibreCat
2021 | Conference Paper | LibreCat-ID: 21598 |
![Open access file OA](https://ris.uni-paderborn.de/images/access_open.png)
P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.
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2021 | Conference Paper | LibreCat-ID: 27381
C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.
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| DOI
| arXiv
2021 | Dissertation | LibreCat-ID: 27284 |
![Open access file OA](https://ris.uni-paderborn.de/images/access_open.png)
M. D. Wever, Automated Machine Learning for Multi-Label Classification. 2021.
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| DOI
2021 | Journal Article | LibreCat-ID: 30906
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.
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