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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Aug 2017
Next issue: Nov 2017
Avg review time: 77 days


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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FEATURED ARTICLE

Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017

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LATEST NEWS

2017-Jun-14
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.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
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.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2012 - 4

A Novel Fault Identification Using WAMS/PMU

ZHANG, Y. See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on IEEExplore See more information about ZHANG, Y. on Web of Science, WANG, Z. See more information about  WANG, Z. on SCOPUS See more information about  WANG, Z. on SCOPUS See more information about WANG, Z. on Web of Science, ZHANG, J. See more information about ZHANG, J. on SCOPUS See more information about ZHANG, J. on SCOPUS See more information about ZHANG, J. 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 (761 KB) | Citation | Downloads: 722 | Views: 3,058

Author keywords
fault identification, noise, principal component analysis, wide area measurement system, wams

References keywords
power(12), systems(11), zhang(9), analysis(8), fault(7), wang(6), electric(6), research(5), principal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 21 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02004
Web of Science Accession Number: 000305608000004
SCOPUS ID: 84865279517

Abstract
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The important premise of the novel adaptive backup protection based on wide area information is to identify the fault in a real-time and on-line way. In this paper, the principal components analysis theory is introduced into the field of fault detection to locate precisely the fault by mean of the voltage and current phasor data from the PMUs. Massive simulation experiments have fully proven that the fault identification can be performed successfully by principal component analysis and calculation. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Under the influence of noise, the results are still accurate and reliable. So, the principal components fault identification has strong anti-interference ability and great redundancy.


References | Cited By

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 8
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Cited-By CrossRef

[1] New Fault Discrimination under the Influence of Rayleigh Noise, ZHANG, Y., WANG, Z., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03005
[CrossRef] [Full text]

[2] Experimental System for Monitoring and Diagnosis of a Static Power Converter, IVANOV, V. I., BROJBOIU, M. D., IVANOV, S. S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02018
[CrossRef] [Full text]

[3] A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm, KULANTHAISAMY, A., VAIRAMANI, R., KARUNAMURTHI, N. K., KOODALSAMY, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.02020
[CrossRef] [Full text]

[4] Fault factor analysis with phasor measurement units, Zhang, Yagang, Wang, Zengping, 2014 IEEE PES General Meeting | Conference & Exposition, ISBN 978-1-4799-6415-4, 2014.
Digital Object Identifier: 10.1109/PESGM.2014.6939400
[CrossRef]

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Copyright ©2001-2017
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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