FDST-based PQ event detection and energy metering implementation on FPGA-in-the-loop and NI-LabVIEW

Power quality (PQ) is crucial parameter in determining the robustness and accuracy of any energy-metering algorithm. It immensely affects the performance of energy meters in terms of measurement accuracy. This study presents digital implementation of fast discrete Stockwell transform (FDST) with aut...

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Vydáno v:	IET science, measurement & technology Ročník 11; číslo 4; s. 453 - 463
Hlavní autoři:	Jaiswal, Supriya, Ballal, Makarand S
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 01.07.2017
Témata:	ALTERA Cyclone IV E FPGA board data loggers data logging energy‐metering algorithm fast discrete Stockwell transform fast Fourier transform fast Fourier transforms field programmable gate array field programmable gate arrays filter‐based design loss evaluation mathematics computing MATLAB NI‐LabVIEW power meters power quality‐event detection remote control access Research Article SEM virtual instrument smart energy meter smart meters virtual instrumentation fast Fourier transforms data loggers fast discrete Stockwell transform field programmable gate arrays mathematics computing filter-based design NI-LabVIEW data logging MATLAB fast Fourier transform remote control access smart meters virtual instrumentation smart energy meter SEM virtual instrument energy-metering algorithm ALTERA Cyclone IV E FPGA board field programmable gate array power meters power quality-event detection loss evaluation
ISSN:	1751-8822, 1751-8830
On-line přístup:	Získat plný text
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