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JCR Impact Factor: 0.699
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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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  1/2009 - 8

Energy Based Correlation Method for Location of Partial Discharge in Transformer Winding

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Download PDF pdficon (513 KB) | Citation | Downloads: 805 | Views: 3,291

Author keywords
transformers, insulation failure, partial discharge location, energy, correlation method, time domain correlation

References keywords
partial(10), discharge(9), insulation(6), tdei(4), dielectric(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 46 - 51
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01008
Web of Science Accession Number: 000264815300008
SCOPUS ID: 67749107974

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Partial discharge (PD) is the major source of insulation failure in power transformer. When transformers are subjected to electrical stress during operation, PD can occur. PD identification is an important diagnostic tool for the reliable operation of transformers. The PD signal detection and location is one of the main challenges for system utilities and equipment manufacturers. In this paper energy based correlation method is proposed for locating the source of PD for different pulse durations. Simulation and experiment are performed on lumped physical layer winding to prove the feasibility of the method and also verified with distributed model of 22kV prototype interleaved winding.

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

[1] Masayuki Hikita, Shigemitsu Okabe, Hiroshi Murase, Hitoshi Okubo, "Cross-equipment evaluation of partial discharge measurement and diagnosis techniques in electric power apparatus for transmission and distribution", IEEE Trans., on Dielectric and Electrical insulation, Vol. 15, No. 2, April 2008.
[CrossRef] [Web of Science Times Cited 56]

[2] Mohammad S. Naderi, M. Vakilianet et al., "Simulation of Partial Discharge Propagation and Location in Abetti Winding based on Structural Data", Power Engineering Conference, IPEC 2005.

[3] S. N. Hettiwatte, Z. D. Wang, "Experimental Investigation into the Propagation of Partial Discharge Pulses in Transformers", IEEE, 2002.

[4] S. N. Hettiwatte, P. A. Crossley, Z. D. Wang, A. Darwin and G. Edwards, "Simulation of a Transformer Winding for Partial Discharge Propagation Studies", IEEE, 2002.

[5] S. Jayalalitha, V. Jayashankar, "A correlation method for detection of partial discharges in transformers", IEEE Transaction on Power Delivery, Vol. 21, No. 1, Jan. 2006.
[CrossRef] [Web of Science Times Cited 14]

[6] G. C. Stone, "Partial Discharge Diagnostics and Electrical Equipment Insulation Condition Assessment", IEEE Trans. on Dielectric and Electrical Insulation, Vol. 12, No. 5, 0ct 2005.
[CrossRef] [Web of Science Times Cited 125]

[7] H. Yamashita, "Partial discharge measurements in dielectric liquid s under impulse voltage", IEEE Transactions on Electrical Insulation, Vol. 28, pp. 947-955, 1993.
[CrossRef] [Web of Science Times Cited 11]

[8] E. O. Forster, "Progress in the understanding of electrical breakdown in condensed matter", J. Phys. D., Appl. Phys., vol. 23, pp. 1506-1514, 1990.

[9] H. Okubo, H. Nayakawa, "A novel technique for partial discharge and breakdown investigation based on current pulse waveform analysis", IEEE Trans. on Dielectric and Electrical insulation, Vol. 12, pp. 736-744, 2005.
[CrossRef] [Web of Science Times Cited 68]

[10] T. Tanaka, "Partial discharge pulse distribution pattern analysis", IEE Proc.-sci, Meas. Technol., Vol. 142, No. 1, Jan 2005.

[11] Bernard Sklar, "Digital communications", Pearson Edition, 2006.

[12] B. P. Lathi, "Modern digital and analog communication systems", Oxford University Press, 2005.

[13] V. Jeyabalan, S. Usa, "Frequency domain correlation techniques for location of partial discharge in transformer windings", IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 16, No. 4, pp. 1160-1167, 2009.
[CrossRef] [Web of Science Times Cited 21]

[14] A. Koochaki, S. M. Kouhsari, G. Ghanavati, "Transformer Internal Faults Simulation", Advances in Electrical and Computer Engineering, Suceava, Romania, No. 2/2008, volume 8 (15), pp. 23-28, 2008.
[CrossRef] [Full Text] [Web of Science Times Cited 5]

References Weight

Web of Science® Citations for all references: 300 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 21 ACR
SCOPUS® Average Citations per reference: 0

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 2019-02-12 04:40 in 74 seconds.

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

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