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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
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13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  2/2011 - 4

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
 
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Download PDF pdficon (842 KB) | Citation | Downloads: 1,758 | Views: 4,523

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
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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 86] [SCOPUS Times Cited 105]


[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 62] [SCOPUS Times Cited 103]


[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 75] [SCOPUS Times Cited 117]


[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 1100] [SCOPUS Times Cited 1464]


[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 80] [SCOPUS Times Cited 102]


[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 13] [SCOPUS Times Cited 17]


[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 21] [SCOPUS Times Cited 22]


[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 18] [SCOPUS Times Cited 20]


[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 5] [SCOPUS Times Cited 8]


[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 122] [SCOPUS Times Cited 184]


[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 14] [SCOPUS Times Cited 18]


[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 23] [SCOPUS Times Cited 35]


[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 44] [SCOPUS Times Cited 64]


[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 69] [SCOPUS Times Cited 102]


[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 29] [SCOPUS Times Cited 37]


[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 41] [SCOPUS Times Cited 57]


[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 12] [SCOPUS Times Cited 13]


[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 5] [SCOPUS Times Cited 10]


[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 4] [SCOPUS Times Cited 5]


[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 22] [SCOPUS Times Cited 29]




References Weight

Web of Science® Citations for all references: 1,845 TCR
SCOPUS® Citations for all references: 2,512 TCR

Web of Science® Average Citations per reference: 56 ACR
SCOPUS® Average Citations per reference: 76 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 2016-11-30 05:04 in 124 seconds.




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