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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Daniels, Bram
Eindhoven University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2021Vector hysteresis modeling coupled with a loop-based magnetic equivalent circuitcitations
- 2020Hysteresis and loss prediction for high-permeability grain-oriented electrical Steel by Material Characterizationcitations
- 2020Coupled statistical and dynamic loss prediction of high-permeability grain-oriented electrical steelcitations
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document
Hysteresis and loss prediction for high-permeability grain-oriented electrical Steel by Material Characterization
Abstract
For loss prediction of a transformer it is required to model the loss of its core, constructed out of high-permeability grain-oriented electrical steel (HiB GOES). This work predicts the magnetic loss in the rolling direction (RD) of a sheet of H105-30 HiB GOES for flux densities up to 1.9 T, and frequencies up to 300 Hz. Material characterization parameters, obtained by statistical loss separation for sinusoidal excitation, are applied in a hysteresis model to predict dynamic behavior, from which the loss is determined. This dynamic behavior is solely determined by material characterization. The maximum error for the predicted loss is 4.74%, the RMS error is 2.22% ({B}.5T, f=50 Hz).