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: May 2024
Next issue: Aug 2024
Avg review time: 57 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

2,682,020 unique visits
1,060,837 downloads
Since November 1, 2009



Robots online now
bingbot
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (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  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus


SAMPLE ARTICLES

Fuzzy Contrast Enhancement System with Multiple Transform Domain Operations, JAVID, T., ABID, M.
Issue 1/2021

AbstractPlus

On Proposing a Novel SDN-Caching Mechanism for Optimizing Distribution in ICN Networks, NASCIMENTO, E. B., MORENO, E. D., MACEDO, D. D. J., CARLOS ERPEN de BONA, L., RIGHI, R. R., MESSINA, F.
Issue 1/2023

AbstractPlus

Image Forgery Detection Using Noise and Edge Weighted Local Texture Features, ASGHAR, K., SADDIQUE, M., HUSSAIN, M., BEBIS, G., HABIB, Z.
Issue 1/2022

AbstractPlus

Design and Analysis of Interior Buried Permanent Magnet Synchronous Motor for Electric Vehicle Applications, NANDHA KUMAR, A., DHEEPANCHAKKRAVARTHY, A.
Issue 4/2023

AbstractPlus

Optimization of Laminated Busbars in Traction Inverters of Electric Vehicles for Improved Stray Parameters, VENUGOPAL, A., ROBERT, F.
Issue 2/2023

AbstractPlus

Electro-Thermal Coupled Modeling of Induction Motor Using 2D Finite Element Method, BOUHERAOUA, M., ATIG, M., BOUSBAINE, A., BENAMROUCHE, N.
Issue 2/2021

AbstractPlus




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 »


    
 

  4/2015 - 15
View TOC | « Previous Article | Next Article »

 HIGH-IMPACT PAPER 

Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis

SAMIRMI, F. D. See more information about SAMIRMI, F. D. on SCOPUS See more information about SAMIRMI, F. D. on IEEExplore See more information about SAMIRMI, F. D. on Web of Science, TANG, W. See more information about  TANG, W. on SCOPUS See more information about  TANG, W. on SCOPUS See more information about TANG, W. on Web of Science, WU, Q. See more information about WU, Q. on SCOPUS See more information about WU, Q. on SCOPUS See more information about WU, Q. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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 (1,274 KB) | Citation | Downloads: 1,096 | Views: 3,814

Author keywords
fault diagnosis, ontology, fuzzy sets, multi-agent systems, power transformer

References keywords
power(13), systems(12), fuzzy(8), agent(8), ontology(7), multi(6), diagnosis(6), transformers(5), system(5), fault(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 107 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04015
Web of Science Accession Number: 000368499800014
SCOPUS ID: 84949971675

Abstract
Quick view
Full text preview
This paper presents a novel fuzzy ontology reasoner for power transformer fault diagnosis under a multi-agent framework. The developed ontology provides a comprehensive knowledge base as part of a multi-agent system to enable imprecision reasoning. It is the first time that a fuzzy ontology model is developed for accurate power transformer fault diagnosis. It aims to develop an improved ontology model for transformer fault diagnosis by applying the fuzzy ontology. The proposed technique deals with the imprecision situation using the fuzzy ontology, in order to build an ontology-based knowledge representation for accurate power transformer fault diagnosis. The proposed system is tested with actual transformer online data to demonstrate the functionality of the developed fuzzy ontology, which can identify the faults that are unidentifiable using a basic ontology model, and this can significantly improve the overall accuracy for transformer fault diagnosis under a multi-agent framework.


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

[1] S. Bora, "Implementing fault-tolerant services in goal-oriented multi-agent systems", Advances in Electrical and Computer Engineering, vol. 14, no. 3, pp. 113-122, 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[2] I. A. Letia, M. Costin, "Onto-SimFCA: A two-step mapping method for ontologies in MAS", Advances in Electrical and Computer Engineering, vol. 8, no. 1, pp. 56-61, 2008.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[3] Q. H. Wu, "Multi-agent based automation platform for distributed industrial systems", The IEE Seminar on (Ref. No. 2005/10986) Autonomous Agents in Control, pp.19-26, 2005.
[CrossRef]


[4] V. M. Catterson, E. M. Davidson, S. D. J. McArthur, "Practical applications of multi-agent systems in electric power systems", European Transactions on Electrical Power, vol. 22, no. 2, pp. 235-252, 2012.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 40]


[5] J. Q. Feng, J. S. Smith, Q. H. Wu, J. Fitch, "Condition assessment of power system apparatuses using ontology systems", IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, pp. 1-6, 2005.
[CrossRef] [SCOPUS Times Cited 13]


[6] D. Wang, W. H. Tang, Q. H. Wu, "Ontology-based fault diagnosis for power transformers", 2010 IEEE Power and Energy Society General Meeting, pp. 1-8, 2010.
[CrossRef] [SCOPUS Times Cited 27]


[7] A. Akbari, A. Setayeshmehr, H. Borsi, E. Gockenbach, I. Fofana, "Intelligent agent-based system using dissolved gas analysis to detect incipient faults in power transformers", IEEE Electrical Insulation Magazine, vol. 26, no. 6, pp. 27-40, 2010.
[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 76]


[8] M. Duval, "A review of faults detectable by gas-in-oil analysis in transformers", IEEE Electrical Insulation Magazine, vol. 18, no. 3, pp. 8-17, 2002.
[CrossRef] [Web of Science Times Cited 402] [SCOPUS Times Cited 556]


[9] M. Wooldridge, N. R. Jennings, "Intelligent agents: Theory and practice", The Knowledge Engineering Review, vol. 10, no. 2, pp. 115-152, 1995.
[CrossRef] [Web of Science Times Cited 2853] [SCOPUS Times Cited 4519]


[10] M. Wooldridge, N. R. Jennings, D. Kinny, "The Gaia methodology for agent-oriented analysis and design", Journal of Autonomous Agents and Multi-Agent Systems, vol. 3, no. 3, pp. 285-312, 2003.
[CrossRef] [Web of Science Times Cited 880] [SCOPUS Times Cited 1393]


[11] F. D. Samirmi, W. H. Tang, Q. H. Wu, "Implementation of Gaia methodology for multi-agent based transformer condition monitoring", 2012 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, pp. 1-8, 2012.
[CrossRef] [SCOPUS Times Cited 6]


[12] S. Staab, R. Studer (Eds.), "Handbook on Ontologies", International Handbooks on Information Systems, Springer-Verlag Berlin Heidelberg, 2009.
[CrossRef]


[13] O. Lassila, F. Harmelen, I. Horrocks, J. Hendler, D. L. McGuinness, "The semantic web and its languages", IEEE Trans. on Intelligent Systems and their Applications, Vol. 15, Issu. 6, pp. 67-73, 2000.
[CrossRef] [SCOPUS Times Cited 118]


[14] N. F. Noy, M. Sintek, S. Decker, M. Crubezy, R. W. Fergerson, M. A. Musen, "Creating semantic web contents with Protege-2000", IEEE Trans. On Intelligent Systems, Vol. 16, Issu. 2, pp. 60-71, 2001,
[CrossRef] [Web of Science Times Cited 474] [SCOPUS Times Cited 799]


[15] D. M. Popovici, C. M. Bogdan, M. Polceanu, R. Querrec, "Applying of an ontology based modeling approach to cultural heritage systems", Advances in Electrical and Computer Engineering, vol. 11, no. 3, pp. 105-110, 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 7]


[16] O. Matei, "Ontology-based knowledge organization for the radiograph images segmentation", Advances in Electrical and Computer Engineering, vol. 8, no. 1, pp. 56-61, 2008.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[17] K. Petridis, S. Bloehdorn, C. Saathoff, N. Simou, S. Dasiopoulou, V. Tzouvaras, S. Handschuh, Y. Avrithis, Y. Kompatsiaris, S. Staab, "Knowledge representation and semantic annotation of multimedia content", IEE Proceedings - Vision, Image and Signal Processing, vol. 153, no.3, pp. 255-262, 2006.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 48]


[18] M. Horridge, S. Brandt, B. Parsia, A. L. Rector, "A domain specific ontology authoring environment for a clinical documentation system", 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, pp. 329-334, 2014.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 6]


[19] F. D. Samirmi, W. H. Tang, Q. H. Wu, "Power transformer condition monitoring and fault diagnosis with multi-agent system based on ontology reasoning", 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference, pp. 1-6, 2013.
[CrossRef] [SCOPUS Times Cited 10]


[20] L. A. Zadeh, "Fuzzy sets", Information and Control, vol. 8, no. 3, pp. 338-353, 1965.
[CrossRef] [SCOPUS Times Cited 68223]


[21] H. C. Sun, Y. C. Huang, C. M. Huang, "Fault diagnosis of power transformers using computational intelligence: A review", Energy Procedia, vol.14, pp. 1226-1231, 2012.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 58]


[22] T. Lukasiewicz and U. Straccia, "Managing uncertainty and vagueness in description logics for the semantic web", Journal of Web Semantics, No. 6, pp. 51-68, 2008.
[CrossRef] [Web of Science Times Cited 246] [SCOPUS Times Cited 432]


[23] F. Bobillo, U. Straccia, "FuzzyDL: An expressive fuzzy description logic reasoner, in: Fuzzy Systems", IEEE International Conference on - IEEE World Congress on CI, pp. 923-930, 2008.
[CrossRef] [Web of Science Times Cited 135] [SCOPUS Times Cited 233]


[24] F. Bobillo, U. Straccia, "Fuzzy ontology representation using OWL2", International Journal of Approximate Reasoning, vol. 52, no. 7, pp. 1073-1094, 2011.
[CrossRef] [Web of Science Times Cited 185] [SCOPUS Times Cited 256]


[25] Y. C. Huang, H. Z. Yang, C. L. Huang, "Developing a new transformer fault diagnosis system through evolutionary fuzzy logic", IEEE Transactions on Power Delivery, vol. 12, no. 2, pp. 761-767, 1997.
[CrossRef] [Web of Science Times Cited 141] [SCOPUS Times Cited 183]


[26] H. Z. Ma, Z. Li, P. Ju, J. D. Han, L. M. Zhang, "Diagnosis of power transformer faults on fuzzy three-ratio method", The 7th International Power Engineering Conference, pp. 453-456, 2005.
[CrossRef]


[27] M. Duval, A. dePabla, "Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases", IEEE Electrical Insulation Magazine, vol. 17, no. 2, pp.31-41, 2001.
[CrossRef] [Web of Science Times Cited 332] [SCOPUS Times Cited 477]


[28] D. Siva-Sarma, G. Kalyani, "ANN approach for condition monitoring of power transformers using DGA", 2004 IEEE Region 10 Conference TENCON 2004, vol. C, pp. 444-447, vol. 3, 2004.
[CrossRef]


[29] N. Gao, G. J. Zhang, Z. Qian, Z. Yan, D. H. Zhu, "Diagnosis of DGA based on fuzzy and ANN methods", Proc. of 1998 International Symposium on Electrical Insulating Materials, pp. 767-770, 1998.
[CrossRef] [Web of Science Times Cited 10]




References Weight

Web of Science® Citations for all references: 5,837 TCR
SCOPUS® Citations for all references: 77,493 TCR

Web of Science® Average Citations per reference: 195 ACR
SCOPUS® Average Citations per reference: 2,583 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 2024-07-11 18:03 in 203 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