CN43-1258/TP ISSN 1007-130X
计算机工程与科学
COMPUTER ENGINEERING &SCIENCE
文章编号：1007-130X(2011)12-0167-07
2011年第33卷第12期 Vol.33,No.12,2011
基于Labview的变压器故障诊断系统研究 AStudyoftheTransformerFaultDiagnosis
SystemBasedonLabview
陈新岗"，，田晓雷"，赵阳阳'，张超峰
CHEN Xin-gang',TIAN Xiao-xiao',ZHAO Yang-yang',ZHANG Chao-feng
（1.重庆理工大学电子信息与自动化学院，重庆400054；
2.输配电装备及系统安全与新技术国家重点实验室（重庆大学），重庆400044）
(1. School of Electronic Information and Automation,Chongqing University of Technology ,Chongqing 400054; 2.State Key Laboratory of Power Transmission Equipment and System Security and New Technology
(Chongqing University),Chongqing 400044,China)
要：本文首先基于油中溶解气体特征含量构建BP网络结构，采集数据样本，进行网络训练，然后摘
应用信息融合原理搭建分层故障诊断模型，分析判断变压器的故障类型，并在此基础上判断变压器局部放电类型。然后采用虚拟仪器技术，在Labview平台上开发了变压器故障诊断系统，该系统从油气量和局部放电信号两个方面对变压器进行故障诊断和局部放电类型识别。通过油气量判断变压器故障类型，然后应用信息融合原理融合局部放电统计特征参量综合判别变压器局部放电类型。该系统实现了变压器油气含量分析，局部放电信号存储，数据综合处理，数据库的查询、修改以及除功能，从而实现了对变压器的故障诊断。
Abstract:Based on the oil gas feature content, this paper contracts the BP neural network and ac-quires the data sample to train the neural network. Then a layered fault diagnosis model is established with the information fusion theory. This method can diagnose the transformer fault type and recognize the discharge type, This paper develops a fault diagnosis system for the transformer based on the virtual instrument technology. The system diagnoses transformer faults and recognize partial discharge types from gas quantity and partial discharge signals. To diagnose transformer faults by oil gas content and at the same time use a statistical method to extract the two-dimensional operator, we apply information fu-sion to judge the transformer partial discharge type, The system realizes the transformer oil and gas con-tent analysis, partial discharge signals storage, data processing, database query, modification and dele tionfunction,thus fulfillsthetransformer fault diagnosis.
关键词：变压器；故障诊断；局部放电；油气含量；Labview
Key words;transformer;fault diagnosis;partial discharge;oil gas content;Labview doi:10.3969/j.issn.1007-130X.2011.12.030
中图分类号：TM411.7
文献标识码：A
收稿日期：2011-04-30：修订日期：2011-09-03
基金项目：输配电装备及系统安全与新技术国家重点实验室访同学者项目（2007DA10512711410）
重庆市重庆理工大学电子信息与白动化学院
通讯地址：400054
Address: School of Electronic Information and Automation, Chongqing University of Technology,Chongqing 40oo54,P, R, Chins
167
万方数据