| 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. |
View the paper record and citations in  |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (842 KB) | Citation | Downloads: 796 | Views: 2,031 |
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
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 |
Web of Science® Times Cited: 27 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated today
SCOPUS® Times Cited: 33
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated 2 days, 13 hours ago
[1] Experience of the applications of FRA methodology to evaluate short-circuit tests in distribution transformers, Tourn, Daniel, Nesci, Sebastian, Gomez, Juan Carlos, Sanchez, Leonardo, CIRED - Open Access Proceedings Journal, ISSN 2515-0855, Issue 1, Volume 2017, 2017.
Digital Object Identifier: 10.1049/oap-cired.2017.0283 [CrossRef]
[2] Current state of transformer FRA interpretation, Picher, Patrick, Tenbohlen, Stefan, Lachman, Mark, Scardazzi, Alaor, Patel, Poorvi, Procedia Engineering, ISSN 1877-7058, Issue , 2017.
Digital Object Identifier: 10.1016/j.proeng.2017.09.689 [CrossRef]
[3] 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 1751-8695, Issue 1, Volume 11, 2017.
Digital Object Identifier: 10.1049/iet-gtd.2016.0879 [CrossRef]
[4] 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]
[5] 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]
[6] 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]
[7] 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]
[8] 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]
[9] FRA interpretation using numerical indices: State-of-the-art, Samimi, Mohammad Hamed, Tenbohlen, Stefan, International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, Issue , 2017.
Digital Object Identifier: 10.1016/j.ijepes.2017.01.014 [CrossRef]
[10] 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]
[11] A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers, Islam, Md Mominul, Lee, Gareth, Hettiwatte, Sujeewa Nilendra, Electrical Engineering, ISSN 0948-7921, Issue 2, Volume 100, 2018.
Digital Object Identifier: 10.1007/s00202-017-0532-4 [CrossRef]
[12] Comprehensive Study on Transformer Fault Detection via Frequency Response Analysis, Kakolaki, Seyed Ebrahim Hosseini, Hakimian, Vahid, Sadeh, Javad, Rakhshani, Elyas, IEEE Access, ISSN 2169-3536, Issue , 2023.
Digital Object Identifier: 10.1109/ACCESS.2023.3300378 [CrossRef]
[13] Transformer Winding Faults Detection Based on Time Series Analysis, Abbasi, Ali Reza, Mahmoudi, Mohammad Reza, Arefi, Mohammad Mehdi, IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, Issue , 2021.
Digital Object Identifier: 10.1109/TIM.2021.3076835 [CrossRef]
[14] 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]
[15] 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]
[16] Effect of Different Connection Schemes, Terminating Resistors and Measurement Impedances on the Sensitivity of the FRA Method, Samimi, Mohammad Hamed, Tenbohlen, Stefan, Akmal, Amir Abbas Shayegani, Mohseni, Hossein, IEEE Transactions on Power Delivery, ISSN 0885-8977, Issue 4, Volume 32, 2017.
Digital Object Identifier: 10.1109/TPWRD.2016.2572160 [CrossRef]
[17] Transformer Winding Fault Diagnosis Method based on Frequency Response Multilevel, Luo, Changbing, He, Zhengqiang, Yao, Jianzhong, Wu, Wanjun, Yang, Weizhao, Cai, Yuhong, 2023 7th International Conference on Power and Energy Engineering (ICPEE), ISBN 979-8-3503-8114-6, 2023.
Digital Object Identifier: 10.1109/ICPEE60001.2023.10453675 [CrossRef]
[18] Power transformer fault detection methods and Effects of edge burrs fault: a review, Altayef, Ehsan, Anayi, Fatih, Packianather, Michael, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), ISBN 978-1-6654-3789-9, 2022.
Digital Object Identifier: 10.1109/ICACITE53722.2022.9823815 [CrossRef]
[19] Transformer breather thermal image decomposition for fault diagnosis, Vidhya, R, Ranjan, P.Vanaja, Shanker, N.R., 2021 7th International Conference on Electrical Energy Systems (ICEES), ISBN 978-1-7281-7612-3, 2021.
Digital Object Identifier: 10.1109/ICEES51510.2021.9383639 [CrossRef]
[20] Study of transformer winding deformation by frequency response analysis, Yousof, M. F. M., Ekanayake, C., Saha, T. K., 2013 IEEE Power & Energy Society General Meeting, ISBN 978-1-4799-1303-9, 2013.
Digital Object Identifier: 10.1109/PESMG.2013.6672525 [CrossRef]
[21] Determination of accuracy of winding deformation method using kNN based classifier used for 3 MVA transformer, Ahmed, Mustafa Wasir, Baishya, Manash Jyoti, Sharma, Sasanka Sekhor, Hazarika, Manash, , ISBN , Issue , 2018.
Digital Object Identifier: 10.1063/1.5032051 [CrossRef]
[22] Effect of different terminating resistors on the FRA method sensitivity, Samimi, M. H., Tenbohlen, S., Akmal, A. A. Shayegani, Mohseni, H., Joneidi, I. Ahmadi, 2015 30th International Power System Conference (PSC), ISBN 978-1-5090-2705-7, 2015.
Digital Object Identifier: 10.1109/IPSC.2015.7827745 [CrossRef]
[23] Locating inter-disc faults in transformer winding using frequency response analysis, Yousof, M. F. M., Ekanayake, C., Saha, T. K., 2013 Australasian Universities Power Engineering Conference (AUPEC), ISBN 978-1-86295-913-2, 2013.
Digital Object Identifier: 10.1109/AUPEC.2013.6725454 [CrossRef]
[24] A feasibility study on application of positioning sensors to online detect of the transformer winding axial displacement, Mousavi, Seyed Amidedin, Bigdeli, Mehdi, Mousavi, Seyed Majid, 2013 IEEE Symposium on Industrial Electronics & Applications, ISBN 978-1-4799-1125-7, 2013.
Digital Object Identifier: 10.1109/ISIEA.2013.6738959 [CrossRef]
[25] Using the complex values of the frequency response to improve power transformer diagnostics, Samimi, M. H., Tenbohlen, S., Akmal, A. A. Shayegani, Mohseni, H., 2016 24th Iranian Conference on Electrical Engineering (ICEE), ISBN 978-1-4673-8789-7, 2016.
Digital Object Identifier: 10.1109/IranianCEE.2016.7585793 [CrossRef]
[26] Development an algorithm of magnitude changes of frequency response analysis for transformer, Kamel, Muhamad Aizuddin Mohd, Nor, Nursyarizal Mohd, Talib, Mohd Aizam, 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC, COMMUNICATION AND CONTROL ENGINEERING (ICEECC 2021), ISBN , Issue , 2023.
Digital Object Identifier: 10.1063/5.0138480 [CrossRef]
Updated today
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
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.
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.
