摘要
随着电力系统的发展,变压器数量的快速增加,作为电力系统的重要设备,变压器的故障诊断技术的发展也变得至关重要,传统的人工定期检测已渐渐不能满足实际需求,在线监控和远程监控已成为发展趋势。由于传统离线故障诊断和在线故障诊断的局限性,本文综合利用智能故障诊断技术、Internet技术、Matlab Web Server技术等开发了一个变压器远程故障诊断系统。利用二叉树模糊支持向量机(Fuzzy Support Vector Machines,FSVM)的方法进行变压器的故障诊断研究,采用B/S结构,使得远程客户端能通过Internet访问远程Matlab Web Server,利用训练好的模糊支持向量机模型进行远程故障诊断。实验结果表明,开发的远程故障诊断系统具有良好的跨平台特性,可以方便地进行远程故障诊断,易于监测现场人员使用,具有较大的实用价值。
The amount of transformer has been increasing rapidly with the development of electric system, as the important device of the power system, transformer fault diagnosis technique becomes crucial, traditional artificial periodic testing cannot satisfy practical de- mand. On - line monitoring and remote monitoring have been the developing trends. For the limitation of offline and online fault diagno- sis, in the paper, intelligence fault diagnosis, Internet and Matlab Web Sever have been combined to develop a transformer remote fault diagnosis system. Bin -tree Fuzzy Support Vector Machines has been used to study transform fault, B/S structure is adopted, by using the internet , remote clients can visit the far away Matlab Web Server to do remote fault diagnosis with the already trained fuzzy SVM. Experimental results show that the remote fault diagnosis system has good cross - platform features. It can be easily operated by site per- sonnel. And it has great practical value.
出处
《控制工程》
CSCD
北大核心
2014年第6期982-985,共4页
Control Engineering of China
基金
中央高校基本科研业务费专项资金(2013JBM078)
关键词
变压器
远程故障诊断
模糊支持向量机
transformer, remote fault diagnosis
fuzzy support vector machines
