碳纳米管检测SF_(6)放电分解组分气敏特性研究

Study on Gas-Sensing Characteristics of Carbon Nanotubes for Detecting SF_(6)Discharge Decomposition Components

气体绝缘组合电器(GIS)的局部放电检测和SF_(6)气体局放分解组分分析,对电力设备运行状态诊断和评估具有重要的意义。为提高SF_(6)气体分解组分的检测灵敏度,在传统碳纳米管检测气体分解原理的基础上,提出掺杂氯化镍以改善碳纳米管的气敏响应特性,并研究了改性后的碳纳米管对SF_(6)气体在局部放电下分解产生的特征组分的响应特性。同时提出了基于信息熵理论的SF_(6)气体分解产物模型,通过主成分分析对各特征的贡献进行了求解和排序,引入支持向量机算法的故障诊断模型,提高了GIS的故障识别准确率。

The partial discharge detection of gas-insulated combined electrical appliances(GIS)and the analysis of SF_(6)gas partial discharge decomposition components are of great significance to the diagnosis and evaluation of the operation status of power equipment.In order to improve the detection sensitivity of SF_(6)gas decomposition components,based on the traditional principle of monitoring gas decomposition of carbon nanotubes,this paper proposes doping nickel chloride to improve the gas-sensing response characteristics of carbon nanotubes,and studies the modified carbon nanotubes.Response characteristics of nanotubes to characteristic components produced by decomposition of SF_(6)gas under partial discharge.At the same time,a SF_(6)gas decomposition product model based on information entropy theory was proposed,the contribution of each feature was solved and sorted by principal component analysis,and the fault diagnosis model of support vector machine algorithm was introduced to improve the fault identification accuracy of GIS.