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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2013 - 21

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
 
Click to see author's profile on 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 (923 KB) | Citation | Downloads: 414 | Views: 1,520

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  «-- Click to see who has cited this paper

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[CrossRef]


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References Weight

Web of Science® Citations for all references: 675 TCR
SCOPUS® Citations for all references: 1,098 TCR

Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 28 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 2017-05-24 23:29 in 245 seconds.




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