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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  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
 
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Download PDF pdficon (842 KB) | Citation | Downloads: 270 | Views: 596

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

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[CrossRef] [Web of Science Times Cited 118]


[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 107]


[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 112]


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[CrossRef] [Web of Science Times Cited 26]


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[CrossRef] [Web of Science Times Cited 28]


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[CrossRef] [Web of Science Times Cited 8]


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[CrossRef] [Web of Science Times Cited 31]


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[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.

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[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 53]


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[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.
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[CrossRef]


[23] S. A. Ryder, "Diagnosing transformer faults using frequency response analysis," IEEE Electrical Insulation Magazine, vol. 19, no.2, pp. 16-22, 2003.
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[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.
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[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.
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[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.
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[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 47]




References Weight

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.




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