The Transformer Fault Diagnosis Method Based on Improved Support Vector Machine

被引：0
|
作者：
Huang Chao-Lin [1 ]
机构：
[1] GuiZhou Tyre CO LTD, Tech Reform Dept, Guiyang 550008, Peoples R China
来源：
INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS RESEARCH | 2013年 / 422卷
关键词：
support vector machine; fault diagnosis; particle swarm; classification;
D O I：
10.4028/www.scientific.net/AMM.422.83
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Aiming at the fault diagnosis problem, the transformers fault diagnosis method is proposed based on improved support vector machine. The optimum parameters setting are got by the particle swarm optimization. The experimental results demonstrate that the proposed method of this paper has the good classification performance, the high reliability, effective and feasible.
引用
收藏
页码：83 / 88
页数：6
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