电测与仪表Issue(16)：38-42,5.
差分进化算法在变压器故障诊断中应用
Differential evolution algorithm in the application of the transformer fault diagnosis
韩丽 1孙望 1罗朋 1余鹏玺 1杜刚 1李云鹏2
作者信息
- 1. 中国矿业大学，江苏徐州221008
- 2. 兰州大学，兰州730000
- 折叠
摘要
Abstract
In view of the transformer fault diagnosis for typical small sample data , this paper proposes a support vector machine of power transformer fault diagnosis method ( SVM) based on differential evolution algorithm optimization. This method uses the differential evolution algorithm to optimize function parameters C, and factor g in support vector machine, and applies the optimized support vector machine ( SVM) to fault diagnosis data of small sample.The ex-perimental results show that the accuracy is higher than grid search optimization method and particle swarm optimiza-tion algorithm, and it is very suitable for the fault diagnosis of power transformer.关键词
变压器/差分进化算法/支持向量机/故障诊断Key words
transformer/differential evolution algorithm/support vector machine/fault diagnosis分类
信息技术与安全科学引用本文复制引用
韩丽,孙望,罗朋,余鹏玺,杜刚,李云鹏..差分进化算法在变压器故障诊断中应用[J].电测与仪表,2015,(16):38-42,5.
