HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores

W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid, IEEE Transactions on Power Electronics 40 (2025) 3326–3335.

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DOI
10.1109/TPEL.2024.3488174
Journal Article
Author
Kirchgässner, Wilhelm; Förster, Nikolas; Piepenbrock, Till; Schweins, Oliver; Wallscheid, Oliver
Department
Leistungselektronik und Elektrische Antriebstechnik (LEA)
Keywords
Mathematical models; Estimation; Data models; Convolutional neural networks; Accuracy; Magnetic hysteresis; Magnetic cores; Temperature measurement; Magnetic domains; Temperature distribution; Convolutional neural network (CNN); machine learning (ML); magnetics
Publishing Year
2025
Journal Title
IEEE Transactions on Power Electronics
Volume
40
Issue
2
Page
3326-3335
LibreCat-ID
63498

Cite this

Kirchgässner W, Förster N, Piepenbrock T, Schweins O, Wallscheid O. HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. IEEE Transactions on Power Electronics. 2025;40(2):3326-3335. doi:10.1109/TPEL.2024.3488174
Kirchgässner, W., Förster, N., Piepenbrock, T., Schweins, O., & Wallscheid, O. (2025). HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. IEEE Transactions on Power Electronics, 40(2), 3326–3335. https://doi.org/10.1109/TPEL.2024.3488174
@article{Kirchgässner_Förster_Piepenbrock_Schweins_Wallscheid_2025, title={HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores}, volume={40}, DOI={10.1109/TPEL.2024.3488174}, number={2}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner, Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid, Oliver}, year={2025}, pages={3326–3335} }
Kirchgässner, Wilhelm, Nikolas Förster, Till Piepenbrock, Oliver Schweins, and Oliver Wallscheid. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.” IEEE Transactions on Power Electronics 40, no. 2 (2025): 3326–35. https://doi.org/10.1109/TPEL.2024.3488174.
W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, and O. Wallscheid, “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores,” IEEE Transactions on Power Electronics, vol. 40, no. 2, pp. 3326–3335, 2025, doi: 10.1109/TPEL.2024.3488174.
Kirchgässner, Wilhelm, et al. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.” IEEE Transactions on Power Electronics, vol. 40, no. 2, 2025, pp. 3326–35, doi:10.1109/TPEL.2024.3488174.

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