摘要
故障电弧电流值小,不足以使传统断路器动作切断电源,成为电气火灾的主要原因之一。本文通过对建筑物低压供配电线路中的故障电弧建模,分析故障电弧特征。采用小波分析方法对采集的数据降噪和特征提取,与傅里叶变换方法相比较,并分析了电路中负载改变时的情况,仿真结果表明该方法可有效检测故障电弧的奇异点,准确辨识故障电弧。
The value of fault arcing current is too small to make the traditional circuit breaker act to cut off the power supply,which is one of the major causes of electrical fire.The characteristics of fault arcing are received through building fault arcing model of building low-voltage distribution lines.Wavelet analysis is used to reduce noise and feature extraction for the collected data,compared with the Fourier transform method,and analysis the situation when the load changes.Results show that this method had good performance for the detection of fault arc singular points,and effectively distinguished the normal circuit from the fault arcing.
出处
《微计算机信息》
2011年第3期159-161,共3页
Control & Automation
基金
基金申请人:段培永
项目名称:智能居住环境舒适度与节能协调控制系统
基金颁发部门:山东省自然科学基金委(ZR2009GZ004)
关键词
建筑物低压供配电线路
故障电弧检测
小波分析
傅里叶变换
Building Low-voltage Distribution Lines
Fault Arcing Detection
Wavelet Analysis
Fourier Transform
