Artificial neural networks and genetic algorithm for transformer winding/insulation faults
This paper presents an application of Artificial Neural Network and Genetic Algorithm for transformer winding/insulation faults diagnosed using Dissolved Gas in Oil Analysis. A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic A...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/479/ http://scholars.utp.edu.my/id/eprint/479/1/paper.pdf |
| _version_ | 1848658998071394304 |
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| author | K.S.R., Rao K.N., Nashruladin |
| author_facet | K.S.R., Rao K.N., Nashruladin |
| author_sort | K.S.R., Rao |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper presents an application of Artificial Neural Network and Genetic Algorithm for transformer winding/insulation faults diagnosed using Dissolved Gas in Oil Analysis. A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic Algorithm is used to derive the optimal key gas ratios to enhance the accuracy of fault detection. The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. Besides, the condition of the transformer could be monitored continuously by time to time. The results are compared between the real and predicted faults to observe the accuracy rate of the system.
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| first_indexed | 2025-11-13T07:23:26Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:479 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:26Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4792017-01-19T08:26:32Z http://scholars.utp.edu.my/id/eprint/479/ Artificial neural networks and genetic algorithm for transformer winding/insulation faults K.S.R., Rao K.N., Nashruladin TK Electrical engineering. Electronics Nuclear engineering This paper presents an application of Artificial Neural Network and Genetic Algorithm for transformer winding/insulation faults diagnosed using Dissolved Gas in Oil Analysis. A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic Algorithm is used to derive the optimal key gas ratios to enhance the accuracy of fault detection. The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. Besides, the condition of the transformer could be monitored continuously by time to time. The results are compared between the real and predicted faults to observe the accuracy rate of the system. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/479/1/paper.pdf K.S.R., Rao and K.N., Nashruladin (2008) Artificial neural networks and genetic algorithm for transformer winding/insulation faults. In: 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008, 2 April 2008 through 4 April 2008, Langkawi. http://www.scopus.com/inward/record.url?eid=2-s2.0-62449167627&partnerID=40&md5=d2e1f283b0ba197ba105a278ea3d021d |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering K.S.R., Rao K.N., Nashruladin Artificial neural networks and genetic algorithm for transformer winding/insulation faults |
| title | Artificial neural networks and genetic algorithm for transformer winding/insulation faults
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| title_full | Artificial neural networks and genetic algorithm for transformer winding/insulation faults
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| title_fullStr | Artificial neural networks and genetic algorithm for transformer winding/insulation faults
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| title_full_unstemmed | Artificial neural networks and genetic algorithm for transformer winding/insulation faults
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| title_short | Artificial neural networks and genetic algorithm for transformer winding/insulation faults
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| title_sort | artificial neural networks and genetic algorithm for transformer winding/insulation faults |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/479/ http://scholars.utp.edu.my/id/eprint/479/ http://scholars.utp.edu.my/id/eprint/479/1/paper.pdf |