Transformer Fault Diagnosis Method Based on Support Vector Machine and Ant Colony

Li Li Mo

doi:10.4028/www.scientific.net/AMR.659.54

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 659Transformer Fault Diagnosis Method Based on...

Transformer Fault Diagnosis Method Based on Support Vector Machine and Ant Colony

Abstract:

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.

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Advanced Materials and Computer Science II

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Periodical:

Advanced Materials Research (Volume 659)

Pages:

54-58

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.659.54

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Online since:

January 2013

Authors:

Li Li Mo

Keywords:

Ant Colony, Fault Diagnosis, Support Vector Machine (SVM), Transformer

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References

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