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JCR Impact Factor: 1.102
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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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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

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  1/2010 - 16

 HIGHLY CITED PAPER 

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 in 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: 1,496 | Views: 4,040

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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Full text preview
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 385] [SCOPUS Times Cited 555]


[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 187] [SCOPUS Times Cited 256]


[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 47] [SCOPUS Times Cited 56]


[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 64] [SCOPUS Times Cited 83]


[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 23] [SCOPUS Times Cited 35]


[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 Times Cited 1]


[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 Times Cited 3]


[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: 710 TCR
SCOPUS® Citations for all references: 990 TCR

Web of Science® Average Citations per reference: 47 ACR
SCOPUS® Average Citations per reference: 66 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 2021-03-04 08:51 in 57 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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


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