13 Publications

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[13]
2022 | Journal Article | LibreCat-ID: 34065
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).
LibreCat | DOI
 
[12]
2022 | Conference Paper | LibreCat-ID: 32859
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.
LibreCat | DOI
 
[11]
2021 | Journal Article | LibreCat-ID: 22162
Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.
LibreCat | DOI
 
[10]
2021 | Journal Article | LibreCat-ID: 21251
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.
LibreCat | DOI
 
[9]
2021 | Journal Article | LibreCat-ID: 21254
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021).
LibreCat | DOI
 
[8]
2021 | Journal Article | LibreCat-ID: 29655
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323 (2021).
LibreCat
 
[7]
2020 | Journal Article | LibreCat-ID: 21252
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020) 1–10.
LibreCat | DOI
 
[6]
2020 | Journal Article | LibreCat-ID: 21250
Estimating Electric Motor Temperatures with Deep Residual Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2020) 7480–7488.
LibreCat | DOI
 
[5]
2020 | Journal Article | LibreCat-ID: 29640
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2001.06246 (2020).
LibreCat
 
[4]
2019 | Journal Article | LibreCat-ID: 25030
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept
M. Schenke, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Industrial Informatics (2019) 4650–4658.
LibreCat | DOI
 
[3]
2019 | Conference Paper | LibreCat-ID: 21247
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019.
LibreCat | DOI
 
[2]
2019 | Conference Paper | LibreCat-ID: 21249
Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019.
LibreCat | DOI
 
[1]
2017 | Conference Paper | LibreCat-ID: 21248
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors
O. Wallscheid, W. Kirchgässner, J. Böcker, in: 2017 International Joint Conference on Neural Networks (IJCNN), 2017.
LibreCat | DOI
 

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13 Publications

Mark all

[13]
2022 | Journal Article | LibreCat-ID: 34065
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).
LibreCat | DOI
 
[12]
2022 | Conference Paper | LibreCat-ID: 32859
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.
LibreCat | DOI
 
[11]
2021 | Journal Article | LibreCat-ID: 22162
Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.
LibreCat | DOI
 
[10]
2021 | Journal Article | LibreCat-ID: 21251
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.
LibreCat | DOI
 
[9]
2021 | Journal Article | LibreCat-ID: 21254
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, O. Wallscheid, Journal of Open Source Software (2021).
LibreCat | DOI
 
[8]
2021 | Journal Article | LibreCat-ID: 29655
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2103.16323 (2021).
LibreCat
 
[7]
2020 | Journal Article | LibreCat-ID: 21252
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
A. Traue, G. Book, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Neural Networks and Learning Systems (2020) 1–10.
LibreCat | DOI
 
[6]
2020 | Journal Article | LibreCat-ID: 21250
Estimating Electric Motor Temperatures with Deep Residual Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 36 (2020) 7480–7488.
LibreCat | DOI
 
[5]
2020 | Journal Article | LibreCat-ID: 29640
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
W. Kirchgässner, O. Wallscheid, J. Böcker, ArXiv Preprint ArXiv:2001.06246 (2020).
LibreCat
 
[4]
2019 | Journal Article | LibreCat-ID: 25030
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept
M. Schenke, W. Kirchgässner, O. Wallscheid, IEEE Transactions on Industrial Informatics (2019) 4650–4658.
LibreCat | DOI
 
[3]
2019 | Conference Paper | LibreCat-ID: 21247
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019.
LibreCat | DOI
 
[2]
2019 | Conference Paper | LibreCat-ID: 21249
Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors
W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2019 IEEE International Electric Machines & Drives Conference (IEMDC), 2019.
LibreCat | DOI
 
[1]
2017 | Conference Paper | LibreCat-ID: 21248
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors
O. Wallscheid, W. Kirchgässner, J. Böcker, in: 2017 International Joint Conference on Neural Networks (IJCNN), 2017.
LibreCat | DOI
 

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