Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 59 days
Avg accept to publ: 60 days
APC: 300 EUR


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: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,984,102 unique visits
1,157,803 downloads
Since November 1, 2009



Robots online now
SemrushBot
Googlebot
bingbot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 3 / 2024
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  








LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

Read More »


    
 

  4/2019 - 4

A Novel Test Method for Real-time Magnetic Flux Measurement of Power Transformers

ZHANG, Y. See more information about ZHANG, Y. on SCOPUS See more information about ZHANG, Y. on IEEExplore See more information about ZHANG, Y. on Web of Science, DAI, D. See more information about  DAI, D. on SCOPUS See more information about  DAI, D. on SCOPUS See more information about DAI, D. on Web of Science, ZHANG, J. See more information about  ZHANG, J. on SCOPUS See more information about  ZHANG, J. on SCOPUS See more information about ZHANG, J. on Web of Science, LIU, X. See more information about  LIU, X. on SCOPUS See more information about  LIU, X. on SCOPUS See more information about LIU, X. on Web of Science, CHEN, X. See more information about CHEN, X. on SCOPUS See more information about CHEN, X. on SCOPUS See more information about CHEN, X. on Web of Science
 
Extra paper information in View the paper record and citations in Google Scholar View the paper record and similar papers in Microsoft Bing View the paper record and similar papers in Semantic Scholar the AI-powered research tool
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (433 KB) | Citation | Downloads: 843 | Views: 2,682

Author keywords
magnetic circuits, power transformers, empirical mode decomposition, test equipment, finite element analysis

References keywords
transformer(16), power(14), bias(12), magnetic(10), electronics(5), current(5), voltage(4), systems(4), study(4), monitoring(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 29 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04004
Web of Science Accession Number: 000500274700004
SCOPUS ID: 85077272740

Abstract
Quick view
Full text preview
Optimizing magnetic flux distribution in iron cores is very important in the transformer design. It can affect whether the iron cores of transformers are saturated or not in severe conditions. If saturated, the transformer will overheat and generate harmful harmonics to the grid. The measurement of the dynamic magnetic flux is an effective method to observe the behavior of transformers and ensure their safety. However, there are limited methods to measure the magnetic flux in real-time. In this paper, a novel test method based on a special transformer design is proposed. The new design integrates an additional bypass iron core which shares a partial magnetic path with the main core. By injecting high-frequency signals into the attached coil of the bypass core, the measured signals reflect the trend of the magnetic flux variation in the main core over time. To improve the accuracy of the derived measured data, the Empirical Mode Decomposition algorithm is also used to diminish the noise without additional designs in the signal acquisition circuit. The proposed method is modeled and tested, and the results show that this method can dynamically measure the magnetic flux in the transformer.


References | Cited By  «-- Click to see who has cited this paper

[1] V. C. Valchev,A. Van den Bossche. Inductors and transformers for power electronics. CA: CRC Press, pp:10-20, 2018.

[2] W. Xu, Y. Wu, F. Wu, X. Shen and J. Ruan, "Study on the influence factors of power transformer DC magnetic bias," in 12th IET International Conference on AC and DC Power Transmission (ACDC 2016), Beijing, 2016, pp. 1-6.
[CrossRef]


[3] J. Sun, J. Li, K. Wang, C. Wu, Y. Qiu and X. Yu, "Study on operating performance of transformer and scaling model with DC bias," in 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), Edinburgh, 2017, pp. 158-162.
[CrossRef] [SCOPUS Times Cited 2]


[4] H. Feng et al., "Analysis of Exciting Current for Single-phase Four-Limb Ultra-High Voltage Transformer Under DC Bias," in 2018 Condition Monitoring and Diagnosis (CMD), Perth, WA, 2018, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 4]


[5] Vakhnina V. V., Kuvshinov A. A., Shapovalov V. A., Chernenko A. N., Kretov D. A., "The development of models for assessment of the geomagnetically induced currents impact on electric power grids during geomagnetic storms," Advances in Electrical and Computer Engineering. vol. 15, no. 1, pp.49-55, Feb. 2015.
[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]


[6] C. R. Pacheco, J. A. G. Esparza, J. G. De La Vega and R. Caraballo, "Evaluation of the Risk of Geomagnetic Induced Currents (GIC's) in Power Transformers of the National Electrical System," in 2018 XXXI International Summer Meeting on Power and Industrial Applications (Rvp-Ai), Acapulco, 2018, pp. 75-80.
[CrossRef] [SCOPUS Times Cited 1]


[7] Y. Xia, Y. Han and J. Liu, "Calculation of winding loss and temperature rise of large power transformer under DC magnetic biasing," in 2018 12th International Conference on the Properties and Applications of Dielectric Materials (ICPADM), Xi'an, 2018, pp. 590-593.
[CrossRef] [SCOPUS Times Cited 2]


[8] D. Xia, "The Distribution of Transient Magnetic Field and Eddy Current Losses of Three-Phase Five-Legged Transformer Under DC Bias," in 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax, NS, Canada, 2018, pp. 728-732.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


[9] X. Song, B. Zhou and L. Wang, "Transient Eddy Current Loss and Magnetic Field Distribution of Single-phase Three-legged Transformer under DC Bias," in 2018 13th World Congress on Intelligent Control and Automation (WCICA), Changsha, China, 2018, pp. 1053-1057.
[CrossRef] [SCOPUS Times Cited 1]


[10] H. L. Weng, L. Liu, Y. Wan, X. N. Lin, Z. X. Li and J. G. Huang, "Studies on the Variation of Transformer Reactive Power Caused by DC Bias and Its Impacts on System Voltage," in 2018 IEEE International Conference on High Voltage Engineering and Application (ICHVE), ATHENS, Greece, 2018, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 4]


[11] Y. Xu, M. Dai and W. Wang, "An Analysis of Transformer Core Vibration and Noise Under DC Bias Condition," in 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC), Dalian, 2017, pp. 1612-1615.
[CrossRef] [SCOPUS Times Cited 10]


[12] J. Liu and L. Luo, "Noise characteristics of the new converter transformer under DC bias," Electronics Letters, vol. 53, no. 10, pp. 672-674, 11 5 2017.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 6]


[13] J. Horiszny, "Method of determining the residual fluxes in transformer core," in 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts, Lodz, 2017, pp. 1-2.
[CrossRef] [SCOPUS Times Cited 4]


[14] B. Tanatarec, "Measurements of magnetic flux density in the vicinity of transformer station," in 2016 22nd International Conference on Applied Electromagnetics and Communications (ICECOM), Dubrovnik, 2016, pp. 1-4.
[CrossRef] [SCOPUS Record]


[15] W. Jiang, L. He and Z. X. Zhang, "Monitoring and suppression measures of transformer DC bias current," in 2016 International Conference on Condition Monitoring and Diagnosis (CMD), Xi'an, 2016, pp. 364-367.
[CrossRef] [SCOPUS Times Cited 5]


[16] M. Kazerooni and T. J. Overbye, "Transformer Protection in Large-Scale Power Systems During Geomagnetic Disturbances Using Line Switching," IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 5990-5999, Nov.2018.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 10]


[17] British Standard, "Magnetic Materials-Part 2: Methods of measurement of the magnetic properties of electrical steel sheet and strip by means of an Epstein frame", BS EN 60404-2:1998, IEC 404-2: 1996.

[18] H. Huang, B. Wei, L. Su, W. Zhao, X. Zhang and X. Zheng, "Study on Technical Standards of Direct Current Bias Magnetic Suppression Device of Power Transformer," in 2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC), Shenzhen, 2018, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 1]


[19] D. Chen, Z. Feng, Q. Wang, L. Fang and B. Bai, "Study of Analysis and Experiment for Ability to Withstand DC Bias in Power Transformers," IEEE Transactions on Magnetics, vol. 54, no. 11, pp. 1-6, Nov. 2018, Art no. 8401406.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 35]


[20] J. Yuan et al., "A Novel Compact High-Voltage Test System Based on a Magnetically Controlled Resonant Transformer," IEEE Transactions on Magnetics, vol. 51, no. 11, pp. 1-4, Nov. 2015, Art no. 1700204.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 8]


[21] L. Bowei, M. Hai and Z. Lixing, "On-Line Monitoring of Transformer Vibration and Noise Based on DC Magnetic Bias," in 2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications, Zhangjiajie, 2013, pp. 412-416.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


[22] X. Chen, Z. Wang and B. Wang, "Research on Dynamic Magnetic Flux Measurement Under DC-Biased Magnetization by the Type-c Transducer," IEEE Transactions on Magnetics, vol. 51, no. 11, pp. 1-4, Nov. 2015, Art no. 6101304.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 2]


[23] Valentin Ionita, Lucian Petrescu, Adelina Bordianu and Octavian Tabara, "Efficient Use of Preisach Hysteresis Model in Computer Aided Design," Advances in Electrical and Computer Engineering, vol. 13, no. 2, pp.121-126, May. 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 9]


[24] Y. Kopsinis and S. McLaughlin, "Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding," IEEE Transactions on Signal Processing, vol. 57, no. 4, pp. 1351-1362, April 2009.
[CrossRef] [Web of Science Times Cited 527] [SCOPUS Times Cited 667]


[25] S. Shukla, S. Mishra and B. Singh, "Power Quality Event Classification Under Noisy Conditions Using EMD-Based De-Noising Techniques," IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1044-1054, May 2014.
[CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 107]


[26] L. Wang, H. Chen, S. Li, X. Chen and W. Wang, "Wavelet threshold analysis combined with EMD method for mechanical equipment fault diagnosis," in 2017 36th Chinese Control Conference (CCC), Dalian, 2017, pp. 5060-5063.
[CrossRef] [SCOPUS Times Cited 4]




References Weight

Web of Science® Citations for all references: 683 TCR
SCOPUS® Citations for all references: 898 TCR

Web of Science® Average Citations per reference: 25 ACR
SCOPUS® Average Citations per reference: 33 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 2024-11-15 21:09 in 162 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.




Website loading speed and performance optimization powered by: 


DNS Made Easy