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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Petrov, R. H. | Madrid |
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| Bih, L. |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Ali, M. A. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Cui, Yi
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Publications (6/6 displayed)
- 2023A high-resolution versatile focused ion implantation platform for nanoscale engineeringcitations
- 2020Revealing and Elucidating ALD-Derived Control of Lithium Plating Microstructurecitations
- 2017Hyaluronan content governs tissue stiffness in pancreatic islet inflammation.
- 2015Time Domain Diffusion-Driven Dielectric Response Model for Investigation of Moisture Dynamics in Transformers Insulationcitations
- 2010Magnetic Doping and Kondo Effect in Bi2Se3 Nanoribbonscitations
- 2008InGaN thin films grown by ENABLE and MBE techniques on silicon substrates
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document
Time Domain Diffusion-Driven Dielectric Response Model for Investigation of Moisture Dynamics in Transformers Insulation
Abstract
In this paper a time domain diffusion-driven model is presented to investigate the correlation between the distribution of moisture during thermal transients, and the resultant polarization and depolarization current (PDC) measurement, for transformer cellulosic insulation. The oil-impregnated cellulosic insulation is modeled as being multiple layers of paper, with each layer having a different permittivity and conductivity. The non-uniform distribution of moisture occurring during diffusion was taken into consideration. The correlation between moisture concentration and conductivity of the cellulose insulation was investigated. Then, the dielectric response of the cellulose was computed and the dielectric relaxation behavior affected by the moisture dynamics was modelled. The moisture diffusion experiments were conducted on a test transformer to verify the proposed model.