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Fuzzy Ontology Reasoning for Power Transformer Fault DiagnosisSAMIRMI, F. D. , TANG, W. , WU, Q.
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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)
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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 1] [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 8] [SCOPUS Times Cited 12]
 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 1]
 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 154] [SCOPUS Times Cited 233]
 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 198]
 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 474]
 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 Record]
 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 315] [SCOPUS Times Cited 555]
 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 21] [SCOPUS Times Cited 35]
 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 1]
 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 Record]
 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 12]
 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 140] [SCOPUS Times Cited 300]
 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 70] [SCOPUS Times Cited 131]
 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 116]
 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 103] [SCOPUS Times Cited 137]
 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 117] [SCOPUS Times Cited 170]
 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]
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