|4/2015 - 15|
Fuzzy Ontology Reasoning for Power Transformer Fault DiagnosisSAMIRMI, F. D. , TANG, W. , WU, Q.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,274 KB) | Citation | Downloads: 346 | Views: 936|
fault diagnosis, ontology, fuzzy sets, multi-agent systems, power transformer
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
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|
| 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 2] [SCOPUS Times Cited 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] [SCOPUS Times Cited 1]
 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.
 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 10] [SCOPUS Times Cited 14]
 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 10]
 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 11]
 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 25] [SCOPUS Times Cited 35]
 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 169] [SCOPUS Times Cited 246]
 M. Wooldridge, N. R. Jennings, "Intelligent agents: Theory and practice", The Knowledge Engineering Review, vol. 10, no. 2, pp. 115-152, 1995.
[CrossRef] [SCOPUS Times Cited 321]
 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 517]
 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 1]
 S. Staab, R. Studer (Eds.), "Handbook on Ontologies", International Handbooks on Information Systems, Springer-Verlag Berlin Heidelberg, 2009.
 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.
 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 332] [SCOPUS Times Cited 591]
 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 1] [SCOPUS Times Cited 2]
 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] [SCOPUS Times Cited 9]
 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 22] [SCOPUS Times Cited 39]
 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 1] [SCOPUS Times Cited 3]
 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 2]
 L. A. Zadeh, "Fuzzy sets", Information and Control, vol. 8, no. 3, pp. 338-353, 1965.
 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 5] [SCOPUS Times Cited 15]
 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 153] [SCOPUS Times Cited 319]
 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 74] [SCOPUS Times Cited 171]
 F. Bobillo, U. Straccia, "Fuzzy ontology representation using OWL2", International Journal of Approximate Reasoning, vol. 52, no. 7, pp. 1073-1094, 2011.
[CrossRef] [SCOPUS Times Cited 131]
 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 105] [SCOPUS Times Cited 149]
 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.
 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 127] [SCOPUS Times Cited 182]
 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.
 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 5]
Web of Science® Citations for all references: 1,548 TCR
SCOPUS® Citations for all references: 2,254 TCR
Web of Science® Average Citations per reference: 52 ACR
SCOPUS® Average Citations per reference: 75 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 2017-08-15 12:27 in 191 seconds.
Note1: Web of Science® is a registered trademark of Thomson Reuters.
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.
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.