Research of Transformer Intelligent Evaluation and Diagnosis Method Based on DGA

被引：5

作者：

Wang Feng ^{[1
]}

Bi Jiangang ^{[1
]}

Zhang Bowen ^{[1
]}

Yuan Shuai ^{[1
]}

机构：

[1] China Elect Power Res Inst, Beijing, Peoples R China

来源：

2016 3RD INTERNATIONAL CONFERENCE ON MECHANICS AND MECHATRONICS RESEARCH (ICMMR 2016) | 2016年 / 77卷

关键词：

D O I：

10.1051/matecconf/20167701002

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页数：6

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