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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2015 - 11

New Boost-Type PFC MF-Vienna PWM Rectifiers with Multiplied Switching Frequency

FLORICAU, D. See more information about FLORICAU, D. on SCOPUS See more information about FLORICAU, D. on IEEExplore See more information about FLORICAU, D. on Web of Science, TUDORACHE, T. See more information about  TUDORACHE, T. on SCOPUS See more information about  TUDORACHE, T. on SCOPUS See more information about TUDORACHE, T. on Web of Science, KREINDLER, L. See more information about KREINDLER, L. on SCOPUS See more information about KREINDLER, L. on SCOPUS See more information about KREINDLER, L. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,221 KB) | Citation | Downloads: 395 | Views: 248

Author keywords
AC-DC power converters, energy conversion, power quality, rectifiers, voltage control

References keywords
rectifier(12), phase(11), power(10), wind(8), energy(7), level(6), electronics(6), boost(6), ortmann(5), heldwein(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 81 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04011
Web of Science Accession Number: 000368499800015
SCOPUS ID: 84949977205

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In this paper new three-level boost-type PFC PWM rectifiers with Multiplied-switching-Frequency (MF) are presented. They can work both at high and low switching frequency for single- and for three-phase unity-power-factor applications. The proposed solutions are named MF-Vienna PWM rectifiers (M=2 or 3) and are based on classical 1F-Vienna topology (M=1), the most popular PWM boost-type PFC concept with three voltage levels. By adding auxiliary active power device(s) to 1F-Vienna circuit and through proper modulation strategies, the ripple frequency present in the input and output passive components can be doubled (M=2) or tripled (M=3). This advantage leads to the reduction of boost inductor and line filter requirements. The operation principle of the 2F-Vienna cell is validated for three-phase PWM rectifier using Voltage Oriented Control (VOC) method.

References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 524 TCR
SCOPUS® Citations for all references: 1,240 TCR

Web of Science® Average Citations per reference: 19 ACR
SCOPUS® Average Citations per reference: 46 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-10-20 05:30 in 150 seconds.

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