ADVANCED POWER GRID ANALYSIS IN METALLURGICAL PLANTS WITH USAGE OF DISCRETE FOURIER TRANSFORM
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10244493" target="_blank" >RIV/61989100:27360/19:10244493 - 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
ADVANCED POWER GRID ANALYSIS IN METALLURGICAL PLANTS WITH USAGE OF DISCRETE FOURIER TRANSFORM
Popis výsledku v původním jazyce
The article deals with quality analysis of power grids especially in metallurgical industry when using large engines, arc furnace, induction heating and so on. Nowadays, these non-linear loads which are connected to power grids cause heavy disturbances, which can cause big problems like damage or even destruction of machines or devices connected near the point, where disturbances occur. Identification of disturbances is then very important for elimination of these problems. The article describe progress in detecting mentioned anomalies namely application of discrete Fourier transform which is suitable tool for measuring the anomalies. Discrete Fourier transform can be implemented in modern type microprocessors so there is a possibility to measure and evaluate measured results quickly and efficiently. Based on measured values the power grid in the factory can be analyzed and the improvement can be proposed.
Název v anglickém jazyce
ADVANCED POWER GRID ANALYSIS IN METALLURGICAL PLANTS WITH USAGE OF DISCRETE FOURIER TRANSFORM
Popis výsledku anglicky
The article deals with quality analysis of power grids especially in metallurgical industry when using large engines, arc furnace, induction heating and so on. Nowadays, these non-linear loads which are connected to power grids cause heavy disturbances, which can cause big problems like damage or even destruction of machines or devices connected near the point, where disturbances occur. Identification of disturbances is then very important for elimination of these problems. The article describe progress in detecting mentioned anomalies namely application of discrete Fourier transform which is suitable tool for measuring the anomalies. Discrete Fourier transform can be implemented in modern type microprocessors so there is a possibility to measure and evaluate measured results quickly and efficiently. Based on measured values the power grid in the factory can be analyzed and the improvement can be proposed.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
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
METAL 2019 : conference proceedings : peer reviewed : 28th International Conference on Metallurgy and Materials : May 22nd-24th 2019, Hotel Voronez I, Brno, Czech Republic, EU
ISBN
978-80-87294-92-5
ISSN
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e-ISSN
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Počet stran výsledku
5
Strana od-do
1863-1867
Název nakladatele
Tanger
Místo vydání
Ostrava
Místo konání akce
Brno
Datum konání akce
22. 5. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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