Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Caius Panoiu"'
Publikováno v:
Chips, Vol 3, Iss 2, Pp 69-97 (2024)
Because of the large number of parameters that interact in amplifier functions, determining dynamic regime parameters as well as the mode of function of amplifier stages is an extremely complex problem. This paper describes a LabVIEW application for
Externí odkaz:
https://doaj.org/article/69750b15f18d4f9ab4f96aace45e5d57
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3445 (2024)
Electric Arc Furnaces (EAFs) are widely used in the steel manufacturing industry to melt scrap steel by employing a large number of electric arcs. EAFs play an important role in ensuring the efficient production of steel. However, their nonlinear and
Externí odkaz:
https://doaj.org/article/b7330b692c984289a18337be8deee764
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9252 (2024)
Recent years have seen outstanding developments in research and technology, highlighting the importance of railway transportation, especially the implementation of high-speed trains, which is becoming more and more challenging. This facilitates exten
Externí odkaz:
https://doaj.org/article/41fd8fdcac334fd68c0ee23b67d308d3
Autor:
Manuela Panoiu, Caius Panoiu
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3071 (2024)
In this research, we investigate the power quality of the grid where an Electric Arc Furnace (EAF) with a very high load operates. An Electric Arc Furnace (EAF) is a highly nonlinear load that uses very high and variable currents, causing major power
Externí odkaz:
https://doaj.org/article/cbbd217a8d1d47b983d130b158c1168e
Publikováno v:
Mathematics, Vol 12, Iss 6, p 839 (2024)
The power supply is crucial in the present day due to the negative impacts of poor power quality on the electric grid. In this research, we employed deep learning methods to investigate the power factor, which is a significant indicator of power qual
Externí odkaz:
https://doaj.org/article/9b42cc22af89485e9e74e1a2f8271a22
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1381 (2023)
Harmonic generation in power system networks presents significant issues that arise in power utilities. This paper describes a machine learning technique that was used to conduct a research study on the harmonic analysis of railway power stations. Th
Externí odkaz:
https://doaj.org/article/ab42fa91ea1e4239982ceee662909ed9
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 212 (2022)
Electricity has become an important concern in today’s society. This is due to the fact that the electric grid now has a greater number of non-linear components. The AC-powered locomotive is one of these non-linear components. The aim of this paper
Externí odkaz:
https://doaj.org/article/53363fe71ac74821b550df0b6dcb599d
Publikováno v:
Machines, Vol 9, Iss 5, p 99 (2021)
This paper addresses one of the current areas of interest in electrical engineering, which is controlled switching of high voltage circuit breakers. During their operation, the problem of controlled switching of high voltage circuit breakers in commu
Externí odkaz:
https://doaj.org/article/8088aa359045470c922f7e4e8ee894e0
Publikováno v:
Machines, Vol 9, Iss 99, p 99 (2021)
Machines
Volume 9
Issue 5
Machines
Volume 9
Issue 5
This paper addresses one of the current areas of interest in electrical engineering, which is controlled switching of high voltage circuit breakers. During their operation, the problem of controlled switching of high voltage circuit breakers in commu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15ee3522ec992c1e051010124fb54157
https://www.mdpi.com/2075-1702/9/5/99
https://www.mdpi.com/2075-1702/9/5/99
Publikováno v:
ICCMA
A transient regime appears in the electrical power supply systems, when the power supply status changes from one state to another. This may occur if an electrical discharge causes the lightning to touch the ground in the vicinity of a high-voltage tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b6863577209cf88f61ede944cc800cb
https://doi.org/10.1109/iccma51325.2020.9301534
https://doi.org/10.1109/iccma51325.2020.9301534