Transformer Fault Diagnosis Method Based on Support Vector Machine and Ant Colony
| Autor: | Li Li Mo |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
business.industry Dissolved gas analysis Ant colony optimization algorithms General Engineering Control engineering Hardware_PERFORMANCEANDRELIABILITY Ant colony computer.software_genre Cross-validation law.invention Support vector machine law Effective method Data mining business Transformer computer |
| Zdroj: | Advanced Materials Research. 659:54-58 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.659.54 |
| Popis: | For transformer fault diagnosis of the IEC three-ratio is an effective method in the dissolved gas analysis (DGA). But it does not offer completely objective, accurate diagnosis for all the faults. Aiming at parameters are confirmed by the cross validation, using the ant colony algorithm, the ACSVM-IEC method for the transformer fault diagnosis is proposed. Experimental results show that the proposed algorithm in this paper that can find out the optimum accurately in a wide range. The proposed approach is robust and practical for transformer fault diagnosis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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