Partial discharge detection and localization system
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110613" target="_blank" >RIV/00216305:26220/14:PU110613 - 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 detection and localization system
Popis výsledku v původním jazyce
This article describes the partial discharges (PD) detection and localization system. Localization can be performed on the basis of measured UHF waveforms analysis during activity of the partial discharges. The time-shifts of the waveforms related to transient process occurrence in the signals are the main input parameters for localization methods. In order to estimate the position of the signal source in the 3D space a minimum of four antennas has to be used, since the time of the PD is unknown. Analysis of the PD starts with visual investigation of the signals present inside of the power oil transformer. PD signal level is in comparison to other signals inside the transformer very low. Therefore, signal line contains, except amplifiers, also controlled attenuators to reach required trigger conditions. Detailed investigation of all signals inside transformer is provided in memory mode in which system store defined number of signals for offline diagnosis a localization. Continual and memory mode of the system also contain discrimination method for non PD signals removing. Discrimination method is based on simultaneous detection of the signal inside and outside of the transformer with aim to acquire only signal which comes from inside of the transformer. Localization of the PD origin is based on TDOA and matrix algorithm. Resulting position are visualized as point in transformer 2D and 3D scheme.
Název v anglickém jazyce
Partial discharge detection and localization system
Popis výsledku anglicky
This article describes the partial discharges (PD) detection and localization system. Localization can be performed on the basis of measured UHF waveforms analysis during activity of the partial discharges. The time-shifts of the waveforms related to transient process occurrence in the signals are the main input parameters for localization methods. In order to estimate the position of the signal source in the 3D space a minimum of four antennas has to be used, since the time of the PD is unknown. Analysis of the PD starts with visual investigation of the signals present inside of the power oil transformer. PD signal level is in comparison to other signals inside the transformer very low. Therefore, signal line contains, except amplifiers, also controlled attenuators to reach required trigger conditions. Detailed investigation of all signals inside transformer is provided in memory mode in which system store defined number of signals for offline diagnosis a localization. Continual and memory mode of the system also contain discrimination method for non PD signals removing. Discrimination method is based on simultaneous detection of the signal inside and outside of the transformer with aim to acquire only signal which comes from inside of the transformer. Localization of the PD origin is based on TDOA and matrix algorithm. Resulting position are visualized as point in transformer 2D and 3D scheme.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Progress in Electromagnetics Research Symposium 2014, Guangzhou
ISBN
978-1-934142-28-8
ISSN
1559-9450
e-ISSN
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Počet stran výsledku
5
Strana od-do
2344-2349
Název nakladatele
Neuveden
Místo vydání
Neuveden
Místo konání akce
Guangzhou
Datum konání akce
25. 8. 2014
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000393225900520