Publication:
Modelling of power loss in electrical steels

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2008-01-01

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Polish Acad Sciences Inst Physics

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Abstract

This paper presents a new artificial neural network approach based on loss separation model to compute power loss on different types of electrical steels. The network was trained by a Levenberg-Marquardt algorithm. The results obtained by using the proposed model were compared with a commonly used conventional model. The comparison has shown that the neural network model is in good agreement with experimental data with respect to the conventional model.

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Bu çalışma, 09-12 Temmuz 2007 tarihleri arasında Kosice[Slovakya]’da düzenlenen 13t. Czech and Slovak Conference on Magnetism (CSMAG'07)’da bildiri olarak sunulmuştur.

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Toroidal cores, Science & technology, Physical sciences, Physics, multidisciplinary, Physics

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