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FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 3
Current issue: Feb 2025
Next issue: Jun 2025
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


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 Volume 25 (2025)
 
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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
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LATEST NEWS

2025-May-01
Starting from 2025, our Journal will appear 3 times a year. Issues will be published in February, June, and November.

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.

Read More »


  1/2025 - 3

A Novel Anti-maloperation Gas Relay for Internal Fault Protection of Oil-immersed Transformer

XUE, B. See more information about XUE, B. on SCOPUS See more information about XUE, B. on IEEExplore See more information about XUE, B. on Web of Science, YI, W. See more information about  YI, W. on SCOPUS See more information about  YI, W. on SCOPUS See more information about YI, W. on Web of Science, LI, Y. See more information about  LI, Y. on SCOPUS See more information about  LI, Y. on SCOPUS See more information about LI, Y. on Web of Science, LIU, C., TIAN, S., MA, J., ZHANG, T., WAN, S. See more information about WAN, S. on SCOPUS See more information about WAN, S. on SCOPUS See more information about WAN, S. on Web of Science
 
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Download PDF pdficon (2,226 KB) | Citation | Downloads: 269 | Views: 457

Author keywords
anti-maloperation gas relay, baffle angle, differential current, heavy gas alarm, oil-immersed transformer

References keywords
link(18), transformer(16), relay(14), power(9), analysis(8), technology(6), research(6), method(6), fault(6), zhou(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2025-02-28
Volume 25, Issue 1, Year 2025, On page(s): 21 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2025.01003
SCOPUS ID: 86000313424

Abstract
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The gas relay is an essential non-electric protection device in oil-immersed transformers. Due to the single triggering mode of heavy gas alarm and external faults, gas relay may cause misoperation of heavy gas. A method for preventing misoperation based on gas relay baffle angle information and the differential current signal is proposed, and an intelligent anti-misoperation gas relay is designed. Based on angle sensors and Hall current sensors, the gas relay was improved and designed. According to the performance comparison and analysis of the improved performance, a modified scheme based on Hall current sensors was selected to measure the angle of the baffle. The combination of baffle angle information and relay signal was used to determine whether the heavy gas signal was a false alarm. Based on differential current signals, the type of transformer faults can be determined to avoid false alarms of heavy gas caused by faults outside the area. A new type of anti-misoperation gas relay developed by combining two anti-misoperation strategies can not only output heavy gas misoperation types but also monitor the real-time operation status of transformers.


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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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