The Probability-Based Model of an Electric Discharge Growth

dc.contributor.authorZmeko, Filip
dc.contributor.authorMüllerová, Eva
dc.contributor.authorMartínek, Petr
dc.date.accessioned2025-06-20T08:38:16Z
dc.date.available2025-06-20T08:38:16Z
dc.date.issued2024
dc.date.updated2025-06-20T08:38:16Z
dc.description.abstractThe 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.en
dc.format4
dc.identifier.document-number001345150300034
dc.identifier.doi10.1109/Diagnostika61830.2024.10693709
dc.identifier.isbn979-8-3503-6149-0
dc.identifier.issn2464-7071
dc.identifier.obd43943958
dc.identifier.orcidZmeko, Filip 0009-0004-2541-272X
dc.identifier.orcidMüllerová, Eva 0000-0002-9048-9705
dc.identifier.orcidMartínek, Petr 0000-0001-7259-2330
dc.identifier.urihttp://hdl.handle.net/11025/60576
dc.language.isoen
dc.project.IDSGS-2024-014
dc.publisherIEEE
dc.relation.ispartofseries16th International Conference on Diagnostics in Electrical Engineering, Diagnostika 2024
dc.subjectstreamer dischargeen
dc.subjectgas insulation mixtureen
dc.subjectelectric resilienceen
dc.subjectnumerical simulationen
dc.subjectprobabilityen
dc.subjectfinite element methoden
dc.subjectmesh generatoren
dc.titleThe Probability-Based Model of an Electric Discharge Growthen
dc.typeStať ve sborníku (D)
dc.typeSTAŤ VE SBORNÍKU
dc.type.statusPublished Version
local.files.count1*
local.files.size1103023*
local.has.filesyes*
local.identifier.eid2-s2.0-85207046613

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