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Approximation of dielectric spectroscopy data with Herglotz functions on the real line and convex optimization
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.ORCID iD: 0000-0002-3928-6064
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.ORCID iD: 0000-0002-7018-6248
2016 (English)In: Proceedings of the  2016 18th International Conference on Electromagnetics in Advanced Applications, IEEE, 2016, p. 863-866Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the ongoing research on approximation of frequency dielectric spectroscopy measurement data. The algorithm based on passive approximation, Hilbert transform and Tikhonov regularization for non-uniformly sampled data is derived. The interpolation and extrapolation problems with application to the dielectric spectroscopy measurement data are solved using convex optimization. 

Place, publisher, year, edition, pages
IEEE, 2016. p. 863-866
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Physics, Waves and Signals
Identifiers
URN: urn:nbn:se:lnu:diva-64263DOI: 10.1109/ICEAA.2016.7731537ISI: 000468496600150Scopus ID: 2-s2.0-85007363833ISBN: 9781467398114 (print)OAI: oai:DiVA.org:lnu-64263DiVA, id: diva2:1097313
Conference
2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA, 19-23 Sept. Cairns, Australia, 2016
Funder
Swedish Foundation for Strategic Research , AM13-0011Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2025-05-14Bibliographically approved
In thesis
1. Estimation of electromagnetic material properties with application to high-voltage power cables
Open this publication in new window or tab >>Estimation of electromagnetic material properties with application to high-voltage power cables
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Efficient design of high-voltage power cables is important to achieve an economical delivery of electric power from wind farms and power plants over the very long distances as well as the overseas electric power. The main focus of this thesis is the investigation of electromagnetic losses in components of high-voltage power cables. The objective of the ongoing research is to develop the theory and optimization techniques as tools to make material choices and geometry designs to minimize the high-frequency attenuation and dispersion for HVDC power cables and the power losses associated with HVAC cables. Physical limitations, dispersion relationships and the application of sum rules as well as convex optimization will be investigated to obtain adequate physical insight and a priori modeling information for these problems.

For HVAC power cables, the objectives are addressed by performing measurements and estimation of complex valued permeability of cable armour steel in Papers I and II. Efficient analytical solutions for the electromagnetic field generated by helical structures with applications for HVAC power cables have been obtained in Paper III.

For HVDC power cables, estimation of insulation characteristics from dielectric spectroscopy data using Herglotz functions, convex optimization and B-splines, has been investigated in Papers V and VI. The unique solution requirements in waveguide problems have been reviewed in Paper IV.

Place, publisher, year, edition, pages
Linnaeus University Press, 2017. p. 19
Series
Lnu Licentiate ; 2
Keywords
Material losses, power cables, cylindrical multipole expansion, Herglotz functions, convex optimization, sum rules
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Physics, Waves and Signals
Identifiers
urn:nbn:se:lnu:diva-64265 (URN)978-91-88357-77-9 (ISBN)
Presentation
2017-06-14, C1202, Newton, Hus C, Växjö, 10:15 (English)
Opponent
Supervisors
Funder
Swedish Foundation for Strategic Research , AM13-0011
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2025-05-14Bibliographically approved

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Ivanenko, YevhenNordebo, Sven

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