CAJ | 학술논문

　　依托欧氏距离和支持向量机理论，提出了基于欧氏距离的二叉树支持向量机变压器故障诊断方法，建立了基于欧氏距离的二叉树支持向量机故障诊断模型，最后进行了仿真。结果表明，基于欧氏距离的二叉树支持向量机的变压器故障分类模型不但具有较高的分类准确率，而且能够有效的减小基于二叉树支持向量机故障诊断时误差累计现象的发生。
　　의탁구씨거리화지지향량궤이론，제출료기우구씨거리적이차수지지향량궤변압기고장진단방법，건립료기우구씨거리적이차수지지향량궤고장진단모형，최후진행료방진。결과표명，기우구씨거리적이차수지지향량궤적변압기고장분류모형불단구유교고적분류준학솔，이차능구유효적감소기우이차수지지향량궤고장진단시오차루계현상적발생。
By using the concept of the Euclidean Distance and the theory of the Support Vector Machine (SVM), this paper proposes a method of binary-tree SVM transformer fault diagnosis based on Euclidean-Distance, and sets up a fault diagnosis model on account of Euclidean distance. Then by the experiment of the model simulation, its results show that the present method not only has a high classification accuracy rate, but also greatly reduce the occurrence of the error accumulation which often occurs in the traditional method for binary-tree SVM transformer fault diagnosis.