电力系统保护与控制2012，Vol.40Issue(14)：121-126,6.
基于SVM的电力变压器内部故障部位的概率估计
Probability estimation of interior fault position for power transformer based on SVM
司马莉萍 1黄松波 2豆朋 2舒乃秋 1李自品1
作者信息
- 1. 武汉大学电气工程学院,湖北武汉430072
- 2. 广东电网公司佛山供电局,广东佛山528000
- 折叠
摘要
Abstract
At present, most intelligent fault diagnostic methods of power transformer are based on dissolved gas analysis in oil to make diagnosis on fault property, which lacks of a quantitative diagnosis on inner fault position. To solve the problem, a novel probability estimation model of interior fault position for power transformer based on support vector machine (SVM) is proposed. The model takes advantages of SVM and probability modeling to make probability estimation on interior possible fault position of power transformer by fully utilizing dissolved gas analysis and routine electrical testing data. It overcomes drawbacks in hard-decision outputs of the traditional support vector machine and gives a probabilistic conclusion by using posterior probability support vector machine. Finally, fault diagnosis examples are used to illustrate the performance of the proposed model. The diagnostic results show that the proposed model has high recognition rate and better probability distribution, which proves its effectiveness and usefulness.关键词
变压器/概率估计/故障部位/支持向量机/后验概率Key words
power transformer/ probability estimation/ fault position/ support vector machine/ the posterior probability分类
信息技术与安全科学引用本文复制引用
司马莉萍,黄松波,豆朋,舒乃秋,李自品..基于SVM的电力变压器内部故障部位的概率估计[J].电力系统保护与控制,2012,40(14):121-126,6.
