Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

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: 55 days
Avg accept to publ: 60 days
APC: 300 EUR


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


TRAFFIC STATS

2,579,894 unique visits
1,024,912 downloads
Since November 1, 2009



Robots online now
Googlebot
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus


SAMPLE ARTICLES

Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal Control, ALKAWAZ, A. N., KANESAN, J., MOHD KHAIRUDDIN, A. S., CHOW, C. O., SINGH, M.
Issue 4/2021

AbstractPlus

A Hybrid Deep Learning Approach for Intrusion Detection in IoT Networks, EMEC, M., OZCANHAN, M. H.
Issue 1/2022

AbstractPlus

Correction to ''File System Performance Comparison in Full Hardware Virtualization with ESXi, KVM, Hyper-V and Xen Hypervisors'', DJORDJEVIC, B., TIMCENKO, V., KRALJEVIC, N., MACEK, N.
Issue 3/2021

AbstractPlus

AC-DC Bidirectional Converter-based Flexible Interconnection for Low Voltage Side in Power Systems, KONG, Y., WANG, Y., Li, Y., ZHAO, Z., GUO, Y., ZHONG, J.
Issue 1/2024

AbstractPlus

On Proposing a Novel SDN-Caching Mechanism for Optimizing Distribution in ICN Networks, NASCIMENTO, E. B., MORENO, E. D., MACEDO, D. D. J., CARLOS ERPEN de BONA, L., RIGHI, R. R., MESSINA, F.
Issue 1/2023

AbstractPlus

Wind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditions, INCEKARA, H., SELEK, M.
Issue 4/2021

AbstractPlus




LATEST NEWS

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.

Read More »


    
 

  2/2011 - 4

 HIGH-IMPACT PAPER 

A New Method for Detection and Evaluation of Winding Mechanical Faults in Transformer through Transfer Function Measurements

BIGDELI, M. See more information about BIGDELI, M. on SCOPUS See more information about BIGDELI, M. on IEEExplore See more information about BIGDELI, M. on Web of Science, VAKILIAN, M. See more information about  VAKILIAN, M. on SCOPUS See more information about  VAKILIAN, M. on SCOPUS See more information about VAKILIAN, M. on Web of Science, RAHIMPOUR, E. See more information about RAHIMPOUR, E. on SCOPUS See more information about RAHIMPOUR, E. on SCOPUS See more information about RAHIMPOUR, E. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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 (842 KB) | Citation | Downloads: 811 | Views: 2,097

Author keywords
transformer, fault diagnosis, measurement, transfer function, vector fitting

References keywords
power(27), transformer(18), winding(17), frequency(12), analysis(11), transfer(10), response(10), function(10), delivery(9), deformation(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 23 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02004
Web of Science Accession Number: 000293840500004
SCOPUS ID: 79958858543

Abstract
Quick view
Full text preview
Transfer function (TF) is an acknowledged method for power transformer mechanical faults detection. However the past published works mostly discovered how to specify the faults levels and paid less attention to detection of the type of faults using comparison of TFs. whereas, it seems important for most of the applications to specify the type of fault without opening the unit. This paper presents a new method based on vector fitting (VF) to compare the TFs and specify the type, level and location of the fault. For development of the method, and its verification the required measurements are carried out on four model transformers; under intact condition, and under different fault conditions (axial displacement, radial deformation, disc space variation and short circuit of winding) and the TFs are determined. Employing VF, the coefficients of TFs are determined with the required accuracy. Using those coefficients, a new index is introduced to specify the type, level and location of the fault in the winding. Convincingly good results were obtained. Therefore it is believed that this finding could be helpful in fault diagnosis in actual power transformer windings.


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

[1] C. Bengtsson, "Status and trends in transformer monitoring," IEEE Trans. Power Delivery, vol. 11, no.3, pp. 1379-1384, 1996.
[CrossRef] [Web of Science Times Cited 135] [SCOPUS Times Cited 201]


[2] J. Christian, and K. Feser, "Procedures for detecting winding displacements in power transformers by the transfer function methods," IEEE Trans. Power Delivery, vol. 19, no.1, pp. 214-220, 2004.
[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 160]


[3] T. Leibfried, and K. Feser, "Monitoring of power transformers using the transfer function method," IEEE Trans. Power Delivery, vol. 14, pp. 1333-1341, 1999.
[CrossRef] [Web of Science Times Cited 117] [SCOPUS Times Cited 157]


[4] K. Feser, J. Christian, C. Neumann, U. Sundermann, T. Leibfried, A. Kachler, and M. Loppacher, "The transfer function method for detection of winding displacements on power transformers after transport," in Proc. Short Circuit or 30 Years of Service, CIGRE 12/33-04, 2000.

[5] B. Gustavsen, and A. Semlyen, "Rational approximation of frequency domain responses by vector fitting," IEEE Trans. Power Delivery, vol. 14, pp. 1052-1061, 1999.
[CrossRef] [Web of Science Times Cited 2280] [SCOPUS Times Cited 2823]


[6] B. Gustavsen, "Wide band modeling of power transformers," IEEE Trans. Power Delivery, vol. 19, pp. 414-422, 2004.
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 185]


[7] P. Karimifard, G. B. Gharehpetian, and S. Tenbohlen, "Determination of axial displacement extent based on transformer winding transfer function estimation using vector-fitting method," European Trans. Electrical Power (ETEP), vol. 18, pp. 423-436, 2008.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 32]


[8] P. Karimifard, G. B. Gharehpetian, and S. Tenbohlen, "Localization of winding radial deformation and determination of deformation extent using vector fitting-based estimated transfer function," European Trans. Electrical Power (ETEP), vol. 19, pp. 749-762, 2009.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 34]


[9] Cigre Working Group A2.26, "Mechanical-Condition assessment of transformer windings using frequency response analysis (FRA)," 2007

[10] L. Satish, and S. K. Sahoo, "An effort to understand what factors affect the transfer function of a two-winding transformer," IEEE Trans. Power Delivery, vol. 20, no.2, pp. 1430-1440, 2005.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 33]


[11] A. Singh, F. Castellanos, J. R. Marti, and K. D. Srivastava, "A comparison of trans-admittance and characteristic impedance as metrics for detection of winding displacements in power transformers," Electric Power Systems Research, vol. 79, no.1, pp. 871-877, 2009.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]


[12] E. Rahimpour, J. Christian, K. Feser, and H. Mohseni, "Transfer function method to diagnose axial displacement and radial deformation of transformer winding," IEEE Trans. Power Delivery, vol. 18, no.2, pp. 493-505, 2003.
[CrossRef] [Web of Science Times Cited 246] [SCOPUS Times Cited 330]


[13] M. Florkowski, and J. Furga³, "Modelling of winding failures identification using the frequency response analysis (FRA) method," Electric Power Systems Research, vol. 79, no.1, pp. 1069-1075, 2009.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 41]


[14] J. Jayasinghe, Z. D. Wang, P. N. Jar, and A. W. Darwin, "Investigations on sensitivity of FRA technique in diagnosis of transformer winding deformations," in Proc. Int. Symp. Electrical Insulation, Indianapolis, USA, September 2004.

[15] E. Rahimpour, and S. Tenbohlen, "A mathematical model to investigate disc space variation in power transformer using transfer function analysis," in Proc. Int. Symp. High Voltage Engineering, Ljubljana, Slovenia, August 2007.

[16] S. M. Islam, and G. Ledwich, "Locating transformer faults through sensitivity analysis of high frequency modeling using transfer function approach," in Proc. Int. Symp. Electrical Insulation, Montreal, Canada, June 1996.

[17] A. Shintemirov, W. H. Tang, and Q. H. Wu, "Transformer winding condition assessment using frequency response analysis and evidential reasoning," IET Elec. Pow. Applications, vol. 4, no.3, pp. 198 - 212, 2010.
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 73]


[18] D. K. Xu, C. Z. Fu, and Y. M. Li, "Application of artificial neural network to the detection of the transformer winding deformation," in Proc. IET Conf. Int. Symp. High Voltage Engineering, August 1999. pp. 220-223.
[CrossRef]


[19] J. Zhijian, L. Jingtao, and Z. Zishu, "Diagnosis of transformer winding deformation on the basis of artificial neural network," in Proc. Int. Conf. Properties and Applications of Dielectric Materials, June 2000, pp. 173-176.
[CrossRef]


[20] S. Birlasekaran, Y. Xingzhou, F. Fetherstone, R. Abell, and R. Middleton, "Diagnosis and identification of transformer faults from frequency response data," in Proc. IEEE Conf. Power Engineering Society Winter Meeting, Jan. 2000, pp. 2251-2256.

[21] K. Jong-Wook, P. ByungKoo, J. Seung, K. S. Woo, and P. PooGyeon, "Fault diagnosis of a power transformer using an improved frequency-response analysis," IEEE Trans. Power Delivery, vol. 20, no.1, pp. 169-178, 2005.
[CrossRef] [Web of Science Times Cited 128] [SCOPUS Times Cited 169]


[22] S. A. Ryder, "Transformer diagnosis using frequency response analysis: results from fault simulations," in Proc. IEEE Conf. Power Engineering Society Summer Meeting, July 2002, pp. 399-404.
[CrossRef]


[23] S. A. Ryder, "Diagnosing transformer faults using frequency response analysis," IEEE Electrical Insulation Magazine, vol. 19, no.2, pp. 16-22, 2003.
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 203]


[24] P. M. Nirgude, D. Ashokraju, A. D. Rajkumar, and B. P. Singh, "Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers," IET Sci. Meas. Technology, vol. 2, no.2, pp. 275-285, 2008.
[CrossRef] [Web of Science Times Cited 92] [SCOPUS Times Cited 110]


[25] J. R. Secue, and E. Mombello, "Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers," Electric Power Systems Research, vol. 78, no.6, pp. 1119-1128, 2008.
[CrossRef] [Web of Science Times Cited 110] [SCOPUS Times Cited 134]


[26] J. Gui, W. Gao, K. Tan, and S. Gao, "Deformation analysis of transformer winding by structure parameter," in Proc. Int. Conf. Properties and Applications of Dielectric Materials, paper no. P2-47, 2003.

[27] P. Karimifard, and G. B. Gharehpetian, "A new algorithm for localization of radial deformation and determination of deformation extent in transformer windings," Electric Power Systems Research, vol. 78, no.10, pp. 1701-1711, 2008.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 36]


[28] R. Wimmer, S. Tenbohlen, M. Heindl, A. Kraetge, M. Krüger, and J. Christian, "Development of algorithms to assess the FRA," in Proc. Int. Symp. High Voltage Engineering, paper no. T7-523, 2007.

[29] E. Rahimpour, and D. Gorzin, "A new method for comparing the transfer function of transformers in order to detect the location and amount of winding faults," Electrical Engineering, vol. 88, no.5, pp. 411-416, 2005.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 28]


[30] M. Wang, A. J. Vandermaar, and K. D. Srivastara, "Evaluation of frequency response analysis data," in Proc. Int. Symp. High Voltage Engineering, 2001, pp 904-907.

[31] S. K. Sahoo, and L. Satish, "Discriminating changes introduced in the model for the winding of a transformer based on measurements," Electric Power Systems Research, vol. 77, no.7, pp. 851-858, 2007.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 13]


[32] K. Ragavan, and L. Satish, "Localization of changes in a model winding based on terminal measurements: experimental study," IEEE Trans. Power Delivery, vol. 22, no.3, pp. 1557-1565, 2007.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 67]




References Weight

Web of Science® Citations for all references: 3,836 TCR
SCOPUS® Citations for all references: 4,840 TCR

Web of Science® Average Citations per reference: 116 ACR
SCOPUS® Average Citations per reference: 147 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 2024-05-15 13:32 in 163 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy