Fuzzy Algorithm for Power Transformer Diagnostics
Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometime...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2013/421621 |
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| _version_ | 1832566849680703488 |
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| author | Nitin K. Dhote Jagdish B. Helonde |
| author_facet | Nitin K. Dhote Jagdish B. Helonde |
| author_sort | Nitin K. Dhote |
| collection | DOAJ |
| description | Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition. |
| format | Article |
| id | doaj-art-ac6dfa00ca344366ba305b1b6d2c1448 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-ac6dfa00ca344366ba305b1b6d2c14482025-02-03T01:03:10ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/421621421621Fuzzy Algorithm for Power Transformer DiagnosticsNitin K. Dhote0Jagdish B. Helonde1St. Vincent Pallotti College of Engineering and Technology, Wardha Road, Nagpur 441108, IndiaPrincipal ITM College of Engineering, Nagpur, IndiaDissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.http://dx.doi.org/10.1155/2013/421621 |
| spellingShingle | Nitin K. Dhote Jagdish B. Helonde Fuzzy Algorithm for Power Transformer Diagnostics Advances in Fuzzy Systems |
| title | Fuzzy Algorithm for Power Transformer Diagnostics |
| title_full | Fuzzy Algorithm for Power Transformer Diagnostics |
| title_fullStr | Fuzzy Algorithm for Power Transformer Diagnostics |
| title_full_unstemmed | Fuzzy Algorithm for Power Transformer Diagnostics |
| title_short | Fuzzy Algorithm for Power Transformer Diagnostics |
| title_sort | fuzzy algorithm for power transformer diagnostics |
| url | http://dx.doi.org/10.1155/2013/421621 |
| work_keys_str_mv | AT nitinkdhote fuzzyalgorithmforpowertransformerdiagnostics AT jagdishbhelonde fuzzyalgorithmforpowertransformerdiagnostics |