Neural network based model for incorporating the thermal effect on the magnetic hysteresis of the 3F3 material
| Autor: | Abdelmadjid Nouicer |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Physics
Artificial neural network Rank (linear algebra) Mechanical Engineering Condensed Matter Physics Magnetic hysteresis Topology Electronic Optical and Magnetic Materials Magnetic field Amplitude Mechanics of Materials Control theory Harmonics Harmonic Time domain Electrical and Electronic Engineering |
| Zdroj: | International Journal of Applied Electromagnetics and Mechanics. 46:281-286 |
| ISSN: | 1875-8800 1383-5416 |
| DOI: | 10.3233/jae-141778 |
| Popis: | This paper presents a new approach for incorporating the thermal effect on the magnetic hysteresis of the 3F3 material. The proposed algorithm is based on the knowledge of the magnetic flux density spectrum for some temperatures. So, a feed-forward neural network is trained to learn the relation between the rank of harmonics, the temperature and the amplitude of each harmonic. To construct the hysteresis loop for a new value of the temperature, the neural network predicts the spectrum of the magnetic flux density B which is transformed back to the time domain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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