A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis
Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results however all these techniques rely on personnel experience more than analytical formulation. As a result, various interpr...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE Dielectrics and Electrical Insulation Society
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/43368 |
| _version_ | 1848756672138313728 |
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| author | Abu Siada, Ahmed Hmood, S. Islam, Syed |
| author_facet | Abu Siada, Ahmed Hmood, S. Islam, Syed |
| author_sort | Abu Siada, Ahmed |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results however all these techniques rely on personnel experience more than analytical formulation. As a result, various interpretation techniques do not necessarily lead to the same conclusion for the same oil sample. Furthermore, significant number of DGA results fall outside the proposed codes of the current based-ratio interpretation techniques and cannot be diagnosed by these methods. Moreover, ratio methods fail to diagnose multiple fault conditions due to the mixing up of produced gases. To overcome these limitations, this paper introduces a new fuzzy logic approach to reduce dependency on expert personnel and to aid in standardizing DGA interpretation techniques. The approach relies on incorporating all existing DGA interpretation techniques into one expert model. DGA results of 2000 oil samples that were collected from different transformers of different rating and different life span are used to establish the model. Traditional DGA interpretation techniques are used to analyze the collected DGA results to evaluate the consistency and accuracy of each interpretation technique. Results of this analysis were then used to develop the proposed fuzzy logic model. |
| first_indexed | 2025-11-14T09:15:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-43368 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:15:55Z |
| publishDate | 2013 |
| publisher | IEEE Dielectrics and Electrical Insulation Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-433682017-01-30T15:07:02Z A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis Abu Siada, Ahmed Hmood, S. Islam, Syed Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results however all these techniques rely on personnel experience more than analytical formulation. As a result, various interpretation techniques do not necessarily lead to the same conclusion for the same oil sample. Furthermore, significant number of DGA results fall outside the proposed codes of the current based-ratio interpretation techniques and cannot be diagnosed by these methods. Moreover, ratio methods fail to diagnose multiple fault conditions due to the mixing up of produced gases. To overcome these limitations, this paper introduces a new fuzzy logic approach to reduce dependency on expert personnel and to aid in standardizing DGA interpretation techniques. The approach relies on incorporating all existing DGA interpretation techniques into one expert model. DGA results of 2000 oil samples that were collected from different transformers of different rating and different life span are used to establish the model. Traditional DGA interpretation techniques are used to analyze the collected DGA results to evaluate the consistency and accuracy of each interpretation technique. Results of this analysis were then used to develop the proposed fuzzy logic model. 2013 Journal Article http://hdl.handle.net/20.500.11937/43368 IEEE Dielectrics and Electrical Insulation Society fulltext |
| spellingShingle | Abu Siada, Ahmed Hmood, S. Islam, Syed A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title | A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title_full | A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title_fullStr | A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title_full_unstemmed | A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title_short | A new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| title_sort | new fuzzy logic approach for consistent interpretation of dissolved gas-in-oil analysis |
| url | http://hdl.handle.net/20.500.11937/43368 |