|2/2011 - 4|
A New Method for Detection and Evaluation of Winding Mechanical Faults in Transformer through Transfer Function MeasurementsBIGDELI, M. , VAKILIAN, M. , RAHIMPOUR, E.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (842 KB) | Citation | Downloads: 270 | Views: 596|
transformer, fault diagnosis, measurement, transfer function, vector fitting
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
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|
| 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 118]
 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 107]
 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 112]
 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.
 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 1742]
 B. Gustavsen, "Wide band modeling of power transformers," IEEE Trans. Power Delivery, vol. 19, pp. 414-422, 2004.
[CrossRef] [Web of Science Times Cited 124]
 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]
 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 28]
 Cigre Working Group A2.26, "Mechanical-Condition assessment of transformer windings using frequency response analysis (FRA)," 2007
 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 27]
 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 8]
 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 212]
 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 31]
 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.
 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.
 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.
 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 53]
 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.
 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.
 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.
 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 92]
 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.
 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 127]
 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 72]
 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 85]
 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.
 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 27]
 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.
 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 15]
 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.
 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 11]
 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 47]
Web of Science® Citations for all references: 3,064 TCR
SCOPUS® Citations for all references: 0
Web of Science® Average Citations per reference: 93 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 2021-01-23 22:29 in 141 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.
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.