The Probability-Based Model of an Electric Discharge Growth

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F24%3A43972957" target="_blank" >RIV/49777513:23220/24:43972957 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10693709" target="_blank" >https://ieeexplore.ieee.org/document/10693709</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Diagnostika61830.2024.10693709" target="_blank" >10.1109/Diagnostika61830.2024.10693709</a>

Result language
angličtina
Original language name
The Probability-Based Model of an Electric Discharge Growth
Original language description
The analysis of the electric resilience of an insulating material is mainly the subject of experiments. However, with an increase in computing power, numerical simulations are more and more preferred as an alternative approach to the experimental and empirical efforts. Compared to the experiments, the numerical simulations are less demanding in terms of time and expenditures, but at the cost of the necessity to understand physical processes and their correct implementation into a numerical model itself. This article deals with the simplification of the physical processes of discharge phenomena and their implementation into the numerical model applicable for commercial purposes.
Czech name
—
Czech description
—

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 International Conference on Diagnostics in Electrical Engineering (Diagnostika) : /conference proceedings/
ISBN
979-8-3503-6149-0
ISSN
2464-7071
e-ISSN
2464-708X
Number of pages
4
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Pilsen, Czech Republic
Event date
Sep 3, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001345150300034

Similar results(10)