信息融合技术在高压电气设备温变故障诊断中的应用  

Application of the information fusion technology in the temperature-variation fault diagnosis of high-voltage electric equipment

作　　者：李永伟[1] 王震宇[1] 于国庆[2] 韩兴德[1] 

机构地区：[1]河北科技大学电气信息学院,河北石家庄050018 [2]河北科技大学信息科学与工程学院,河北石家庄050018

出　　处：《河北工业科技》2007年第6期366-368,373,共4页Hebei Journal of Industrial Science and Technology

基　　金：河北省科学技术研究与发展计划资助项目(052035189D)

摘　　要：针对高压电气设备结构复杂、监测环境恶劣、温变故障不易诊断等特点,采用FBG(光纤布拉格光栅)传感器对以温度为主的若干参数进行实时监测。采用神经网络进行故障特征识别分类,通过专家系统对故障信息进行信息融合综合诊断。经仿真和试验研究,温变故障诊断效果良好,为解决高压电气设备温变故障监测和准确诊断提供了一条有效途径。As high-voltage electric equipment has complex structure and works in harsh environments, FBG（Fiber Bragg Gating） sensors are applied to realize the real-time monitoring of some parameters in which temperature is taken as the most significant. The fault types is recognized and classified by using neural network,and a comprehensive diagnosis of fault information is conducted by the application of the expert system. After simulation and experiment, it shows good results, and provides an effective way to realize the monitoring and accurate diagnosis of the temperature-variation fault on high-voltage electric equipmeat.

关 键 词：信息融合 神经网络 专家系统 FBG 温变故障诊断 

分 类 号：TM762[电气工程—电力系统及自动化] TP277[自动化与计算机技术—检测技术与自动化装置]