Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model

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In this work, a Preisach-recurrent neural network model is proposed to predict the dynamic hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator magnets. A recurrent neural network coupled with Preisach play operators is proposed, along with a novel validation me...

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Detalles Bibliográficos
Autores principales: Grech, Christian, Buzio, Marco, Pentella, Mariano, Sammut, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321460/
https://www.ncbi.nlm.nih.gov/pubmed/32512774
http://dx.doi.org/10.3390/ma13112561

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7321460/
https://www.ncbi.nlm.nih.gov/pubmed/32512774
http://dx.doi.org/10.3390/ma13112561

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