Partial Discharge Measurement in Operation: Problems with Disturbances and their Removing
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A00143756" target="_blank" >RIV/68407700:21230/08:00143756 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Partial Discharge Measurement in Operation: Problems with Disturbances and their Removing
Popis výsledku v původním jazyce
The staff of the High Voltage Laboratory of the Czech Technical University in Prague, Faculty of Electrical Engineering, is interested in the development of the new digital partial discharge measuring equipment. It also uses special software for the elimination of the interferences. By using of the special software we can recognize and delete disturbing signals from measured data sets. We have developed two basic algorithms for the elimination of main disturbing signals from digitized partial dischargedata. At first, we can eliminate randomize disturbing signals and SCR disturbing ones (from thyristors). Two math theorems are applied to all measured samples by the computing program. In another way for the elimination of disturbances from partial datais the mathematical Wavelet analysis, which makes possible the elimination of more types of disturbance.
Název v anglickém jazyce
Partial Discharge Measurement in Operation: Problems with Disturbances and their Removing
Popis výsledku anglicky
The staff of the High Voltage Laboratory of the Czech Technical University in Prague, Faculty of Electrical Engineering, is interested in the development of the new digital partial discharge measuring equipment. It also uses special software for the elimination of the interferences. By using of the special software we can recognize and delete disturbing signals from measured data sets. We have developed two basic algorithms for the elimination of main disturbing signals from digitized partial dischargedata. At first, we can eliminate randomize disturbing signals and SCR disturbing ones (from thyristors). Two math theorems are applied to all measured samples by the computing program. In another way for the elimination of disturbances from partial datais the mathematical Wavelet analysis, which makes possible the elimination of more types of disturbance.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2008
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Advances in Electrical and Electronic Engineering
ISSN
1336-1376
e-ISSN
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Svazek periodika
2008
Číslo periodika v rámci svazku
1-2
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
3
Strana od-do
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Kód UT WoS článku
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EID výsledku v databázi Scopus
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