Spectral Analysis of the Differential Surface Admittance Electric Field Integral Equation

Over the decades, a plethora of boundary integral equations (BIEs) have been formulated to tackle the increasingly challenging problems faced by o.a. design engineers of electronic circuits and components. Despite their clear advantages such as a reduced matrix size and automatic inclusion of unbounded background media, BIEs often suffer from detrimental characteristics, i.e. low-frequency or dense-mesh breakdown, and internal resonances. As this detrimental behavior can emerge inherently or due to a particular discretization scheme, it is important to investigate such properties of promising formulations thoroughly to devise breakdown-free solutions and alternatives. For single-source BIEs, these analyses are remarkably more sparsely populated compared to the more conventional BIEs.

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.23919/aces66556.2025.11052476
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
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Spectral Analysis of the Differential Surface Admittance Electric Field Integral Equation

Vladimir Okhmatovski, Martijn Huynen, Dries Vande Ginste, D. De Zutter
Power Transformer Diagnostics and Insulation
article

Spectral Analysis of the Differential Surface Admittance Electric Field Integral Equation

Vladimir Okhmatovski, Martijn Huynen, Dries Vande Ginste, D. De Zutter
article en

Abstract

Over the decades, a plethora of boundary integral equations (BIEs) have been formulated to tackle the increasingly challenging problems faced by o.a. design engineers of electronic circuits and components. Despite their clear advantages such as a reduced matrix size and automatic inclusion of unbounded background media, BIEs often suffer from detrimental characteristics, i.e. low-frequency or dense-mesh breakdown, and internal resonances. As this detrimental behavior can emerge inherently or due to a particular discretization scheme, it is important to investigate such properties of promising formulations thoroughly to devise breakdown-free solutions and alternatives. For single-source BIEs, these analyses are remarkably more sparsely populated compared to the more conventional BIEs.

Ghent University (BE), University of Manitoba (CA)
Openalex Percentile: Top 86%
Power Transformer Diagnostics and Insulation
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