<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The complex initial permeability (CIP) as a function of frequency is one of the main properties of ferrites. This characteristic (CIP) is measured experimentally, therefore there can be found noisy, doubtful or incomplete parts of the spectrum. Thus there is a need for a method of evaluation of quality of CIP. In this article for evaluation of the quality of experimental CIP spectra of polycrystalline ferrite materials the KKR (Kramers-Kronig relations) are used. In order to apply KKR to experimentally measured data (i.e. data with finite limits) the method of transforming these integral relations into summation relations with finite limits is developed and described. This method can be used only for CIP given over the wide frequency rage, so that the imaginary part of CIP is fully presented. Using KKR with the help of CIP spectra model (based on the effects coming from polycrystal grain sizes and defects distribution) partly removes aforementioned limit. Thus with the help of the model we can also make CIP spectra reconstruction (in cases when CIP is noisy or incomplete) and CIP spectra decomposition.</p></abstract>

The complex initial permeability (CIP) as a function of frequency is one of the main properties of ferrites. This characteristic (CIP) is measured experimentally, therefore there can be found noisy, doubtful or incomplete parts of the spectrum. Thus there is a need for a method of evaluation of quality of CIP. In this article for evaluation of the quality of experimental CIP spectra of polycrystalline ferrite materials the KKR (Kramers-Kronig relations) are used. In order to apply KKR to experimentally measured data (i.e. data with finite limits) the method of transforming these integral relations into summation relations with finite limits is developed and described. This method can be used only for CIP given over the wide frequency rage, so that the imaginary part of CIP is fully presented. Using KKR with the help of CIP spectra model (based on the effects coming from polycrystal grain sizes and defects distribution) partly removes aforementioned limit. Thus with the help of the model we can also make CIP spectra reconstruction (in cases when CIP is noisy or incomplete) and CIP spectra decomposition.

The Use of Kramers-Kronig Relations for Verification of Quality of Ferrite Magnetic Spectra

Scientific assistant, Riga Technical University

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The complex initial permeability (CIP) as a function of frequency is one of the main properties of ferrites. This characteristic (CIP) is measured...

The Use of Kramers-Kronig Relations for Verification of Quality of Ferrite Magnetic Spectra

Publié en ligne: 28 mai 2016

Pages: 30 - 35

DOI: https://doi.org/10.1515/ecce-2015-0009

Mots clés
Mathematical model, Mathematical analysis, Permeability, Magnetic properties, Ferrites

© 2015 Riga Technical University

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The Use of Kramers-Kronig Relations for Verification of Quality of Ferrite Magnetic Spectra

Publié en ligne: 28 mai 2016

Pages: 30 - 35

DOI: https://doi.org/10.1515/ecce-2015-0009

Mots clésMathematical model, Mathematical analysis, Permeability, Magnetic properties, Ferrites

© 2015 Riga Technical University

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Mots clés
Mathematical model, Mathematical analysis, Permeability, Magnetic properties, Ferrites