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FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 58 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

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

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


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LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  4/2013 - 21

 HIGHLY CITED PAPER 

Software Tool for Real-Time Power Quality Analysis

MIRON, A. See more information about MIRON, A. on SCOPUS See more information about MIRON, A. on IEEExplore See more information about MIRON, A. on Web of Science, CHINDRIS, M. D. See more information about  CHINDRIS, M. D. on SCOPUS See more information about  CHINDRIS, M. D. on SCOPUS See more information about CHINDRIS, M. D. on Web of Science, CZIKER, A. C. See more information about CZIKER, A. C. on SCOPUS See more information about CZIKER, A. C. on SCOPUS See more information about CZIKER, A. C. on Web of Science
 
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Download PDF pdficon (923 KB) | Citation | Downloads: 1,105 | Views: 4,416

Author keywords
application software, fault detection, harmonic analysis, signal processing algorithms, time domain analysis

References keywords
power(35), analysis(13), wavelet(9), transform(9), quality(9), systems(8), harmonic(7), frequency(7), virtual(6), measurement(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 125 - 132
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04021
Web of Science Accession Number: 000331461300021
SCOPUS ID: 84890235763

Abstract
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A software tool dedicated for the analysis of power signals containing harmonic and interharmonic components, unbalance, voltage dips and voltage swells is presented. The software tool is a virtual instrument, which uses innovative algorithms based on time and frequency domains analysis to process power signals. In order to detect the temporary disturbances, edge detection is proposed, whereas for the harmonic analysis Gaussian filter banks are implemented. Considering that a signal recovery algorithm is applied, the harmonic analysis can be made even if voltage dips or swells appear. The virtual instrument input data can be recorded or online signals; the last ones being get through a data acquisition board. The virtual instrument was tested using both virtually created and real signals from measurements performed in distribution networks. The paper contains a numeric example made on a synthetic digital signal and an analysis made in real-time.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 5 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques, VUJOSEVIC, S., MUJOVIC, S., DAKOVIC, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.03004
[CrossRef] [Full text]

[2] Research and Implementation of a USB Interfaced Real-Time Power Quality Disturbance Classification System, GOK, M., SEFA, I., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.03008
[CrossRef] [Full text]

[3] Continuous wavelet transform for ferroresonance detection in power systems, Şengüler, Tayfun, Şeker, Serhat, Electrical Engineering, ISSN 0948-7921, Issue 2, Volume 99, 2017.
Digital Object Identifier: 10.1007/s00202-016-0387-0
[CrossRef]

[4] Analysis of disturbances transmission in microgrids, Miron, Anca, Chindris, Mircea-Dorin, Cziker, Andrei-Cristinel, Sacerdotianu, Dumitru, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), ISBN 978-1-5090-4489-4, 2017.
Digital Object Identifier: 10.1109/OPTIM.2017.7974948
[CrossRef]

[5] Automatic transfer switch using IEC 61850 protocol in smart grids, Boteza, Aurel, Tirnovan, Radu, Boiciuc, Ioan, Stefanescu, Silviu, Rafiroiu, Dan, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE), ISBN 978-1-4799-5849-8, 2014.
Digital Object Identifier: 10.1109/ICEPE.2014.6970073
[CrossRef]

Updated 3 days, 6 hours ago

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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