2017
DOI: 10.1109/tpwrd.2016.2536681
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A Method of Calculating LC Parameters of Balancing Compensators for AC Arc Furnaces

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Cited by 17 publications
(4 citation statements)
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“…Semiconductor elements that generate mostly «white noise» are poorly suited for the usual Fourier analysis. Its low accuracy may affect the failure of semiconductor voltage sensors that are used in systems of APM, smart home, smart city, lean manufacturing, and others [15][16][17][18]. Given that above things are being developed and placed everywhere, elimination of frequency noise and its diagnosis will be a priority in near future.…”
Section: Processing Of Results and Conclusionmentioning
confidence: 99%
“…Semiconductor elements that generate mostly «white noise» are poorly suited for the usual Fourier analysis. Its low accuracy may affect the failure of semiconductor voltage sensors that are used in systems of APM, smart home, smart city, lean manufacturing, and others [15][16][17][18]. Given that above things are being developed and placed everywhere, elimination of frequency noise and its diagnosis will be a priority in near future.…”
Section: Processing Of Results and Conclusionmentioning
confidence: 99%
“…Thus, it satisfies the cognitive aspect of the power theory. It was, moreover, the first PT that solved [10] the problem of reactive compensation in the presence of harmonic distortion, as well as it solved the problem of balancing compensator synthesis for three- [14], [43] and for four-wire [37] systems. Thus, it satisfies the practical aspect of the power theory.…”
Section: Comments On Some Power Theoriesmentioning
confidence: 99%
“…In addition, thanks to the distribution of the current into individual components, it is possible to analyze the circuit in various situations that occur in real systems [27][28][29][30]. Based on the CPC theory, power compensation methods have been developed [31][32][33] and special attention should be paid to [34][35][36]. When changes in electrical parameters in the circuit are taken into account, adaptive algorithms [25,26] are very important.…”
Section: Introductionmentioning
confidence: 99%