Power losses models for magnetic cores: A review
D Rodriguez-Sotelo, MA Rodriguez-Licea… - Micromachines, 2022 - mdpi.com
In power electronics, magnetic components are fundamental, and, unfortunately, represent
one of the greatest challenges for designers because they are some of the components that …
one of the greatest challenges for designers because they are some of the components that …
[HTML][HTML] Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms
S Quondam-Antonio, F Riganti-Fulginei… - … Applications of Artificial …, 2023 - Elsevier
An effective and performing hysteresis model, based on a deep neural network, with the
capability to reproduce the evolution of magnetization processes under arbitrary waveforms …
capability to reproduce the evolution of magnetization processes under arbitrary waveforms …
State-of-the-art and future trends in soft magnetic materials characterization with focus on electric machine design–Part 2
G Bramerdorfer, M Kitzberger, D Wöckinger… - tm-Technisches …, 2019 - degruyter.com
The first part of this two-part article is about a retrospective view of material characterization,
starting with the work of J. Epstein around the year 1900 and respective basic explanations …
starting with the work of J. Epstein around the year 1900 and respective basic explanations …
Flexible and ferroelectric electrospun PVDF-non-stoichiometric PZT nanogenerators (PENGs) membranes for low-frequency acoustic energy harvesting
F Yousefi, H Esfahani - Ceramics International, 2024 - Elsevier
Acoustic energy harvesting (AEH) at low-frequency has been exposed to serious problems
such as low energy of input sound and lack of efficient materials to absorb the sound and …
such as low energy of input sound and lack of efficient materials to absorb the sound and …
Modeling of hysteresis loops using rational and power functions
M Mirzaei, P Ripka, J Vyhnanek, A Chirtsov… - Journal of Magnetism …, 2021 - Elsevier
Simple and precise hysteresis models with a small number of parameters allowing fast
calculation are required for the magnetic analysis, as the field is calculated in a very large …
calculation are required for the magnetic analysis, as the field is calculated in a very large …
Magnetic Hysteresis Simulation by Using a Deep Neural Network for Non-sinusoidal Excitations
E Cardelli, A Laudani… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Here we present an effective and performing hysteresis model, based on a deep neural
network, with the ability to reproduce the evolution of the magnetization processes under …
network, with the ability to reproduce the evolution of the magnetization processes under …
[PDF][PDF] Power Losses Models for Magnetic Cores: A Review. Micromachines 2022, 13, 418
D Rodriguez-Sotelo, MA Rodriguez-Licea… - 2022 - academia.edu
In power electronics, magnetic components are fundamental, and, unfortunately, represent
one of the greatest challenges for designers because they are some of the components that …
one of the greatest challenges for designers because they are some of the components that …
A Wavelet descriptor model of hysteresis loop phenomena
An accurate and computationally efficient hysteresis model is required to perform transient
finite element analysis of electrical machines and transformers. Numerical experiments …
finite element analysis of electrical machines and transformers. Numerical experiments …