摘要
进一步研究变压器的常见故障,从而深入研究SVM算法的基本原理。利用MATLAB软件编写了SVM的局部放电故障诊断模型,对4种放电类型进行了模式识别,分类结果的准确率达到了95%,完全符合要求。为变压器的故障诊断提供了一种全新的理念和便捷的方法,分析结果为变压器的故障研究提供了重要参考。
In this paper,the basic principle of SVM algorithm is deeply studied in order to further study the common faults of transformer.The partial discharge fault diagnosis model of SVM is compiled by using MATLAB software,and the pattern recognition of four discharge types is carried out.The accuracy of classifi cation results reaches 95%,and fully meets the requirements.It provides a new concept and convenient method for transformer fault diagnosis,and the analysis results provide an important reference for transformer fault research.
作者
周文潮
周子涵
靳冲
Zhou Wenchao;Zhou Zihan;Jin Chong
出处
《铁路通信信号工程技术》
2022年第S01期137-140,共4页
Railway Signalling & Communication Engineering
关键词
变压器
SVM
局部放电
故障诊断
transformer
SVM
partial discharge
fault diagnosis
