Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels
Sign Up to like & getrecommendations! Published in 2018 at "Physica B: Condensed Matter"
DOI: 10.1016/j.physb.2017.11.053
Abstract: Abstract The meta-modelling approach based on an adaptive sparse grid interpolator is proposed for tackling the identification problem of parametric hysteresis models for steels with different microstructures. Parametric models of Jiles-Atherton and Mel'gui, respectively, have… read more here.
Keywords: carbon; parametric hysteresis; hysteresis models; meta modelling ... See more keywords
Discovery of sparse hysteresis models for piezoelectric materials
Sign Up to like & getrecommendations! Published in 2023 at "Applied Physics Letters"
DOI: 10.1063/5.0146134
Abstract: This article presents an approach for modeling hysteresis in piezoelectric materials that leverages recent advancements in machine learning, particularly in sparse-regression techniques. While sparse regression has previously been used to model various scientific and engineering… read more here.
Keywords: discovery sparse; hysteresis models; models piezoelectric; sparse hysteresis ... See more keywords
Identification of Parameters to Correctly Adapt Energy-Based Hysteresis Models Regarding Rotational Losses
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2023.3325287
Abstract: The parameter identification of energy-based (EB) hysteresis models is extremely important regarding the accuracy of simulation results of, e.g., electrical machines and transformers. This article aims to propose an extended version to existing parameter identification… read more here.
Keywords: energy based; hysteresis models; identification; based hysteresis ... See more keywords
A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics
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DOI: 10.3390/app13085181
Abstract: The incorporation of hysteresis models in computational electromagnetic software is of paramount importance for the accurate prediction of the ferromagnetic devices’ performance. The Preisach and Jiles-Atherton (J-A) models are frequently used for this purpose. The… read more here.
Keywords: preisach; hysteresis models; models computational; comparison preisach ... See more keywords