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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 76 days
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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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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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2009 - 8

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

JEYABALAN, V., USA, S.
 
View the paper record and citations in View the paper record and citations in Google Scholar
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Download PDF pdficon (513 KB) | Citation | Downloads: 1,268 | Views: 4,807

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

Abstract
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Full text preview
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 71] [SCOPUS Times Cited 94]


[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.
[CrossRef] [SCOPUS Record]


[3] S. N. Hettiwatte, Z. D. Wang, "Experimental Investigation into the Propagation of Partial Discharge Pulses in Transformers", IEEE, 2002.
[CrossRef] [SCOPUS Times Cited 16]


[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.
[CrossRef] [SCOPUS Times Cited 61]


[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 17] [SCOPUS Times Cited 20]


[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 238] [SCOPUS Times Cited 334]


[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] [SCOPUS 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 83] [SCOPUS Times Cited 114]


[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 30] [SCOPUS Times Cited 35]


[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 8] [SCOPUS Times Cited 14]


References Weight

Web of Science® Citations for all references: 458 TCR
SCOPUS® Citations for all references: 699 TCR

Web of Science® Average Citations per reference: 33 ACR
SCOPUS® Average Citations per reference: 50 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 2024-04-18 07:37 in 59 seconds.




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


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