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Fuzzy Ontology Reasoning for Power Transformer Fault DiagnosisSAMIRMI, F. D.   , TANG, W. , WU, Q. |
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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
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. |
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[1] Ontology-Based Method for Fault Diagnosis of Loaders, Xu, Feixiang, Liu, Xinhui, Chen, Wei, Zhou, Chen, Cao, Bingwei, Sensors, ISSN 1424-8220, Issue 3, Volume 18, 2018.
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[2] Distributed Knowledge Inference Framework for Intelligent Fault Diagnosis in IIoT Systems, Chi, Yuanfang, Wang, Z. Jane, Leung, Victor C. M., IEEE Transactions on Network Science and Engineering, ISSN 2327-4697, Issue 5, Volume 9, 2022.
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[4] Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey, Chi, Yuanfang, Dong, Yanjie, Wang, Z. Jane, Yu, F. Richard, Leung, Victor C. M., IEEE Internet of Things Journal, ISSN 2327-4662, Issue 15, Volume 9, 2022.
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[5] Engineering Support for Handling Controller Conflicts in Energy Storage Systems Applications, Zanabria, Claudia, Tayyebi, Ali, Pröstl Andrén, Filip, Kathan, Johannes, Strasser, Thomas, Energies, ISSN 1996-1073, Issue 10, Volume 10, 2017.
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[7] An Ontology-Based Cognitive Model for Faults Diagnosis of Hazardous Chemical Storage Devices, Feng, Lixiao, Chen, Guorong, Peng, Jun, International Journal of Cognitive Informatics and Natural Intelligence, ISSN 1557-3958, Issue 4, Volume 12, 2018.
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[8] Ontology-based Fault Diagnosis, Liu, Bin, Wu, Junfeng, Yao, Li, Ding, Zheyuan, Proceedings of the 11th International Conference on Computer Modeling and Simulation, ISBN 9781450366199, 2019.
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[11] System for monitoring of hot spot temperature of power transformer windings using fiber optic sensors, Kalman Filter and SCADA integration, Nicola, Marcel, Nicola, Claudiu-Ionel, Dutta, Marian, Sacerdotianu, Dumitru, Hurezeanu, Iulian, 2018 International Conference on Development and Application Systems (DAS), ISBN 978-1-5386-1493-8, 2018.
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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.
