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JCR Impact Factor: 0.595
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Issues per year: 4
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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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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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  1/2010 - 16

Cluster Classification of Partial Discharges in Oil-impregnated Paper Insulation

SURESH, S. D. R. See more information about SURESH, S. D. R. on SCOPUS See more information about SURESH, S. D. R. on IEEExplore See more information about SURESH, S. D. R. on Web of Science, USA, S. See more information about USA, S. on SCOPUS See more information about USA, S. on SCOPUS See more information about USA, S. 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 (668 KB) | Citation | Downloads: 1,298 | Views: 2,860

Author keywords
PDs, multiple PD sources, oil-impregnated paper insulation, PD classification, cluster analysis

References keywords
partial(11), discharge(9), insulation(7), power(6), transformer(5), pattern(5), recognition(4), fuzzy(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 90 - 93
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01016
Web of Science Accession Number: 000275458900016
SCOPUS ID: 77954667129

Abstract
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Recognition of multiple partial discharge (PD) sources in high voltage equipment has been a challenging task until now. The work reported here, aims to recognize multiple PD sources in oil-impregnated paper using Cluster Analysis (CA) and Fuzzy Logic (FL). The typical sources of PD in transformer are identified and the corresponding single source PD defect laboratory models are fabricated. From the measured PD signals, the necessary statistical parameters are extracted by applying CA for classification. A Fuzzy based algorithm has been developed to recognize single source PDs. The developed algorithm has also been applied to recognize multiple PD sources.


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

[1] L. E. Lundgaard, W. Hansen, D. Linhjell, T. J. Painter, "Aging of oil-impregnated paper in power transformers", IEEE Transactions on Power Delivery, Vol. 19, pp. 230-239, 2004
[CrossRef] [Web of Science Times Cited 211] [SCOPUS Times Cited 333]


[2] F. H. Kreuger et. al., "Classification of Partial Discharges", IEEE Transactions on Electrical Insulation, Vol. 28, No. 6, pp. 917-931, December 1993
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 186]


[3] A. Krivda and D. Birtwhistle, "Recognition of Multiple Partial Discharge Patterns", High Voltage Engineering Symposium, 22-27 August 1999 Conference Publication No. 467, IEE, 1999

[4] D. Suresh, "Feature Extraction for Multi Source Partial Discharge Pattern Recognition", IEEE Indicon 2005 Conference, Chennai, India, 1-13 Dec. 2005

[5] A. Cavallini, G. C. Montanari, and F. Puletti, "Partial Discharge Analysis and Asset Management: Experiences on Monitoring of Power Apparatus", IEEE PES Transmission and Distribution Conference and Exposition, Latin America, Venezuela, 2006
[CrossRef] [SCOPUS Times Cited 5]


[6] T. K. Abdel-Galil, R. M. Sharkawy, M. M. A. Salama and R. Bartinikas, "Partial Discharge Pattern Classification Using the Fuzzy Decision Tree Approach", IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 6, pp. 2258-2263, December 2005
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 40]


[7] S. M. Strachan, S. Rudd, S. D. J. McArthur and M. D. Judd, "Knowledge-Based Diagnosis of Partial Discharges in Power Transformers", IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 15, No. 1, February 2008
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 58]


[8] Tadeja Babnik, Raj K. Aggarwal and Philip J. Moore, "Principal Component and Hierarchical Cluster Analyses as Applied to Transformer Partial Discharge Data With Particular Reference to Transformer Condition Monitoring", IEEE Transactions on Power Delivery, 2008
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 21]


[9] C. R. Li, Wei Wang, Z. G. Tang, Y. S. Ding "PD Pattern Recognition in Transformer by Using UHF Technology", Conference Record of the 2004 IEEE International Symposium on Electrical Insulation, Indianapolis, IN USA, 19-22, September 2004
[CrossRef] [Web of Science Record]


[10] Jiang Lei, Jin Xianhe, "Partial Discharge Pattern Recognition of Insulation Models of Power Transformer", Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials, Xi'an Jiaotong University, China, June 21-26, 2000

[11] Feliciano Massingue, Sander Meijer, Pantelis D. Agoris, Johan J. Smit and Jose Lopez-Roldan, "Partial Discharge Pattern Analysis of Modeled Insulation Defects in Transformer Insulation", Conference Record of the IEEE International Symposium on Electrical Insulation, 2006
[CrossRef] [Web of Science Record]


[12] F. H. Kreuger, "Partial Discharge Detection in High-Voltage Equipment", Butterworth & Co, 1989 [PermaLink]

[13] IEC 60270, Partial Discharge Measurements, 3rd edition, March 2001

[14] J. R. Quinlan, "C4.5 Programs for Machine Learning", Morgan Kaufmann, 1993 [PermaLink]

[15] L. O. Hall and P. Lande, "Generating fuzzy rules from data", Proc. 5th IEEE Int. Conf. Fuzzy Systems, vol. 3, pp. 1757-1762, Sep. 8-11, 1996
[CrossRef]


References Weight

Web of Science® Citations for all references: 445 TCR
SCOPUS® Citations for all references: 643 TCR

Web of Science® Average Citations per reference: 30 ACR
SCOPUS® Average Citations per reference: 43 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 2017-08-06 07:33 in 62 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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