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JCR Impact Factor: 0.595
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Issues per year: 4
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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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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
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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.

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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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  3/2014 - 4

Location of Fraudulent Branch Lines or Faults in Short-Length Low Voltage Lines

ESCOBEDO, J. See more information about ESCOBEDO, J. on SCOPUS See more information about ESCOBEDO, J. on IEEExplore See more information about ESCOBEDO, J. on Web of Science, MEDINA, A. See more information about  MEDINA, A. on SCOPUS See more information about  MEDINA, A. on SCOPUS See more information about MEDINA, A. on Web of Science, HERNANDEZ, J.-C. See more information about  HERNANDEZ, J.-C. on SCOPUS See more information about  HERNANDEZ, J.-C. on SCOPUS See more information about HERNANDEZ, J.-C. on Web of Science, ALMONACID, G. See more information about  ALMONACID, G. on SCOPUS See more information about  ALMONACID, G. on SCOPUS See more information about ALMONACID, G. on Web of Science, VIDAL, P. See more information about VIDAL, P. on SCOPUS See more information about VIDAL, P. on SCOPUS See more information about VIDAL, P. 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 (862 KB) | Citation | Downloads: 278 | Views: 1,682

Author keywords
fault location, time domain reflectometry, traveling wave devices, correlation, discrete Fourier transforms

References keywords
fault(16), power(11), transmission(9), system(8), lines(8), location(7), locator(6), time(5), systems(4), protection(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 33 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03004
Web of Science Accession Number: 000340869800004
SCOPUS ID: 84907359410

Abstract
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The detection of irregularities such as a fraudulent branch line or a fault in short-length low voltage (LV) lines is of great interest for electricity supply companies as well as for other businesses. This paper describes and systematizes new techniques that afford in-depth knowledge of the occurrence of irregularities in these lines for the first time. Firstly, it has been characterized the response of a typical short-length tapped line by means of conventional time-domain reflectometry (TDR) technique as well as the additional new techniques proposed. These techniques are based on a conventional mathematical treatment of discrete-time signals. Moreover, they obviate the need for visual inspection at remote locations and only involve a moderate computational effort. Finally, it is exposed how fraudulent branch lines were detected in two real domestic supplies at the local electricity supply company by the proposed techniques. The first fraudulent line was detected in a long incoming main line buried in the ground by mean of the line-symmetry technique. The second one was detected in a short incoming main line located in building voids by the second echo and power spectral density methods. The accuracy of the results has been assessed in laboratory tests as well.


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


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