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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: 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: 4,525

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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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

Cited-By ISI Web of Science

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Cited-By CrossRef

SCOPUS® Times Cited: 14
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Cited-By CrossRef

[1] Frequency response analysis to investigate deformation of transformer winding, Yousof, M. Fairouz M., Ekanayake, Chandima, Saha, Tapan K., IEEE Transactions on Dielectrics and Electrical Insulation, ISSN 1070-9878, Issue 4, Volume 22, 2015.
Digital Object Identifier: 10.1109/TDEI.2015.004750
[CrossRef]

[2] Experimental System for Monitoring and Diagnosis of a Static Power Converter, IVANOV, V. I., BROJBOIU, M. D., IVANOV, S. S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02018
[CrossRef] [Full text]

[3] Comparison of transfer functions using estimated rational functions to detect winding mechanical faults in transformers, Bigdeli, Mehdi, Vakilian, Mehdi, Rahimpour, Ebrahim, Archives of Electrical Engineering, ISSN 0004-0746, Issue 1, Volume 61, 2012.
Digital Object Identifier: 10.2478/v10171-012-0008-0
[CrossRef]

[4] A Vector-based Approach to Discriminate Radial Deformation and Axial Displacement of Transformer Winding and Determine Defect Extent, Pourhossein, K., Gharehpetian, G. B., Rahimpour, E., Araabi, B. N., Electric Power Components and Systems, ISSN 1532-5008, Issue 6, Volume 40, 2012.
Digital Object Identifier: 10.1080/15325008.2011.653863
[CrossRef]

[5] Evaluation of numerical indices for the assessment of transformer frequency response, Samimi, Mohammad Hamed, Tenbohlen, Stefan, Shayegani Akmal, Amir Abbas, Mohseni, Hossein, IET Generation, Transmission & Distribution, ISSN 1751-8687, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2016.0879
[CrossRef]

[6] Improving the numerical indices proposed for the FRA interpretation by including the phase response, Samimi, Mohammad Hamed, Tenbohlen, Stefan, Shayegani Akmal, Amir Abbas, Mohseni, Hossein, International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, Issue , 2016.
Digital Object Identifier: 10.1016/j.ijepes.2016.04.044
[CrossRef]

[7] Consistency Analysis of Ultrasound Echoes within a Dual Symmetric Path Inspection Framework, VASILE, C., STAMATESCU, G., SGARCIU, V., IOANA, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.02006
[CrossRef] [Full text]

[8] Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers, Fofana, Issouf, Hadjadj, Yazid, Energies, ISSN 1996-1073, Issue 9, Volume 9, 2016.
Digital Object Identifier: 10.3390/en9090679
[CrossRef]

[9] Transformer winding faults classification based on transfer function analysis by support vector machine, Bigdeli, M., Vakilian, M., Rahimpour, E., IET Electric Power Applications, ISSN 1751-8660, Issue 5, Volume 6, 2012.
Digital Object Identifier: 10.1049/iet-epa.2011.0232
[CrossRef]

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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.

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