| 4/2023 - 8 |
Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image FeaturesVIDHYA, R.   , VANAJA RANJAN, P. , SHANKER, N. R. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (2,406 KB) | Citation | Downloads: 867 | Views: 836 |
Author keywords
condition monitoring, fault detection, image processing, thermal analysis, feature extraction
References keywords
transformer(19), power(14), current(12), transformers(8), saturation(8), inrush(7), deliv(7), type(5), faults(5), analysis(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2023-11-30
Volume 23, Issue 4, Year 2023, On page(s): 69 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.04008
Web of Science Accession Number: 001147490000006
SCOPUS ID: 85182241078
Abstract
Transformer faults are identified and classified using current sensor signals. Transformer core saturation detection is challenging using current sensor signals due to overlapping of load-based faults such as overload, short circuit, grounding faults, in-rush and power supply fluctuations in current sensor signals. Existing methods are unable to differentiate load-based fault and Transformer core-based faults from current sensor signals. In this paper, transformer core-based faults such as overheating, voltage regulation issues due to power fluctuation, increased current draw due to short circuit or overload are differentiated from load-based faults, using current sensor signal energy band and thermal image of current sensor which are acquired simultaneously. In this paper, transformer core-based faults are differentiated from load-based faults after the current signals are processed with Modified- Tunable Q-factor Wavelet Transform and Rational Dilation Wavelet Transform and current sensor thermal images are processed with Multi Resolution wavelet - Deep Convolutional Neural Network. Energy band-based values from current sensor signal and current sensor thermal image Haralick features are used for differentiating transformer core-based and load-based faults. From the experimental and simulation results the transformer core-based and load-based faults are detected with an accuracy of 95% and compared with traditional methods. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] J. Wimmer, M. R. Tanner, T. Nunn, "Dry-type transformers - Specification, installation, and operational impacts in a marine environment," IEEE Industry Applications Magazine, pp. 68-75, Jun. 2013. [CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 18] [2] Y. Wang, C. Feng, R. Fei, and Y. Luo, "Thermal-ageing characteristics of dry-type transformer epoxy composite insulation," High Perform. Polym., vol. 32, no. 7, pp. 741-752, 2020. [CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 30] [3] R. Soni and B. Mehta, "Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies," Engineering Failure Analysis, vol. 128. Elsevier Ltd, Oct. 01, 2021. [CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 42] [4] M. Meira, C. R. Ruschetti, R. E. Alvarez, and C. J. Verucchi, "Power transformers monitoring based on electrical measurements: State of the art," IET Gener. Transm. Distrib., vol. 12, no. 12, pp. 2805-2815, 2018. [CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 51] [5] K. J. Ferreira and A. E. Emanuel, "A noninvasive technique for fault detection and location," IEEE Trans. Power Deliv., vol. 25, no. 4, pp. 3024-3034, 2010. [CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 22] [6] G. de J. Martinez-Figueroa, F. Córcoles-López, and S. Bogarra, "FPGA-Based Smart Sensor to Detect Current Transformer Saturation during Inrush Current Measurement," Sensors, vol. 23, no. 2, 2023. [CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1] [7] A. K. Paul, "Structured Protection Measures for Better Use of Nanocrystalline Cores in Air-Cooled Medium-Frequency Transformer for Induction Heating," IEEE Trans. Ind. Electron., vol. 68, no. 5, pp. 3898-3905, 2021. [CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 5] [8] M. L. Manning, "Fundamentals of Insulating Transformers," IEEE Electr. Insul. Mag., vol. 3, no. 6, pp. 19-23, 1987. [CrossRef] [SCOPUS Times Cited 1] [9] G. B. Kumbhar and S. M. Mahajan, "Analysis of short circuit and inrush transients in a current transformer using a field-circuit coupled FE formulation," Int. J. Electr. Power Energy Syst., vol. 33, no. 8, pp. 1361-1367, 2011. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 14] [10] S. Ayasun and C. O. Nwankpa, "Transformer tests using MATLAB/Simulink and their integration into undergraduate electric machinery courses," Comput. Appl. Eng. Educ., vol. 14, no. 2, pp. 142-150, 2006. [CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 40] [11] G. S. R. S.Hosimin Thilagar, "Parameter estimation of three-winding transformers using genetic algorithm," Eng. Appl. Artif. Intell., vol. Volume 15, no. Issue 5, p. Pages 429-437, 2002. [CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 41] [12] S. A. G. Mohammad Yazdani-Asrami, Mehran Taghipour-Gorjikolaie, S. Mohammad Razavi, "A novel intelligent protection system for power transformers considering possible electrical faults, inrush current, CT saturation and over-excitation," Int. J. Electr. Power Energy Syst., vol. Volume 64, pp. 1129-1140, 2015. font color=red>[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 47] [13] H. Altun, S. Sunter, and O. Aydogmus, "Modeling and analysis of a single-phase core-type transformer under inrush current and nonlinear load conditions," Electr. Eng., vol. 103, no. 6, pp. 2961-2972, 2021. [CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 10] [14] R. Hamilton, "Analysis of transformer inrush current and comparison of harmonic restraint methods in transformer protection," IEEE Trans. Ind. Appl., vol. 49, no. 4, pp. 1890-1899, 2013. [CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 119] [15] E. Hajipour, M. Vakilian, and M. Sanaye-Pasand, "Current-Transformer Saturation Compensation for Transformer Differential Relays," IEEE Trans. Power Deliv., vol. 30, no. 5, pp. 2293-2302, 2015. [CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 76] [16] U. Rudez and R. Mihalic, "A reconstruction of the WAMS-detected transformer sympathetic inrush phenomenon," IEEE Trans. Smart Grid, vol. 9, no. 2, pp. 724-732, 2018. [CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 11] [17] A. Torkamani, M. Davarpanah, and M. Sanaye-Pasand, "Resolving Current Transformer Partial Saturation Problem: An Analytical Approach to Design the Flux Equalizing Winding," IEEE Trans. Power Deliv., vol. 37, no. 5, pp. 4145-4153, Oct. 2022. [CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3] [18] A. Hooshyar and M. Sanaye-Pasand, "CT saturation detection based on waveform analysis using a variable-length window," IEEE Trans. Power Deliv., vol. 26, no. 3, pp. 2040-2050, Jul. 2011. [CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 40] [19] B. Esenboga and T. Demirdelen, "Efficiency and Cost Based Multi-optimization and Thermal/Electromagnetic Analyses of 3-Phase Dry-Type Transformer," IETE J. Res., vol. 68, no. 4, pp. 2885-2897, 2022. [CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 10] [20] J. Fang, F. Yang, R. Tong, Q. Yu, and X. Dai, "Fault diagnosis of electric transformers based on infrared image processing and semi-supervised learning," Glob. Energy Interconnect., vol. 4, no. 6, pp. 596-607, Dec. 2021. [CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 18] [21] Q. Ge, M. Wang, H. Jiang, Z. Lu, G. Yao, and C. Sun, "Health Management of Dry-Type Transformer Based on Broad Learning System," IEEE Trans. Ind. Electron., vol. 69, no. 3, pp. 3027-3036, Mar. 2022. [CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 17] [22] A. Hosseini, M. Hashemzadeh, and N. Farajzadeh, "UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs," J. Comput. Sci., vol. 61, May 2022. [CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 41] [23] S. Sanati and Y. Alinejad-Beromi, "Avoid Current Transformer Saturation Using Adjustable Switched Resistor Demagnetization Method," IEEE Trans. Power Deliv., vol. 36, no. 1, pp. 92-101, Feb. 2021, [CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 20] [24] S. Sanati and Y. Alinejad-Beromi, "Prevention of the current transformer saturation by using negative resistance," IET Gener. Transm. Distrib., vol. 15, no. 3, pp. 508-517, Feb. 2021, [CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 12] [25] A. A. Etumi and F. J. Anayi, "The application of correlation technique in detecting internal and external faults in three-phase transformer and saturation of current transformer," IEEE Trans. Power Deliv., vol. 31, no. 5, pp. 2131-2139, 2016. [CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 38] [26] M. A. S. Masoum, P. S. Moses, and A. S. Masoum, "Derating of asymmetric three-phase transformers serving unbalanced nonlinear loads," IEEE Trans. Power Deliv., vol. 23, no. 4, pp. 2033-2041, 2008. [CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 71] [27] M. S. Reza Afsharisefat, Mohsen Jannati, "Discrimination of inrush current and internal faults incorporating the MRA and the BIGRU techniques in power transformers," Electr. Power Syst. Res., vol. Volume 219, 2023. [CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 7] Web of Science® Citations for all references: 632 TCR SCOPUS® Citations for all references: 805 TCR Web of Science® Average Citations per reference: 23 ACR SCOPUS® Average Citations per reference: 29 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 2024-11-20 21:40 in 182 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. |
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.
