Research of Transformer Intelligent Evaluation and Diagnosis Method Based on DGA

Oil chromatography analysis is the foundation of transformer fault diagnosis, In this paper, based on knowledge base of the oil chromatographic analysis, an extended research combining the improved three ratio method, BP neural network, and case-based reasoning method for the transformer fault diagn...

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Bibliographic Details
Published inMATEC Web of Conferences Vol. 77; p. 1002
Main Authors Wang, Feng, Bi, Jiangang, Zhang, Bowen, Yuan, Shuai
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2016
Subjects
Chromatography
Fault diagnosis
Knowledge base
Model accuracy
Neural networks
Transformers
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Summary:Oil chromatography analysis is the foundation of transformer fault diagnosis, In this paper, based on knowledge base of the oil chromatographic analysis, an extended research combining the improved three ratio method, BP neural network, and case-based reasoning method for the transformer fault diagnosis was proposed, in the purpose of building a transformer Intelligent Evaluation Diagnosis model, to improve the accuracy of the transformer fault diagnosis, which is of a great significance for practice.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/20167701002