基于信息融合的配电箱故障电弧在线检测  

On-line Detecting for Switchbox Failure Arc Based on Information Fusion

作　　者：吕辉[1] 董爱华[1] 

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454000

出　　处：《煤矿机械》2009年第11期240-242,共3页Coal Mine Machinery

基　　金：河南省科技攻关项目(0624460012)

摘　　要：低压配电箱中的开关触点和接线端子因接触不良容易产生故障电弧。故障电弧不仅影响线路的正常供电,还易引起电气火灾。为可靠地检测出故障电弧,分别对电压信号、电流信号和弧光信号进行了检测,根据Bayesian决策原理,进行软判决信息融合,最后得出对故障电弧的最优判断,有效地解决了报警灵敏度和误报率之间的矛盾,实现低压配电箱电气故障的检测、预报以及电气火灾隐患的预警。The switch contactors and connecting terminals of the low voltage switchbox can occur failure arc easily for the loose contact. The arc not only affects the normal power supply but also is hidden fire trouble. The arc voltage signal , current signal and arc light intensity signal are detected in order to get failure arc reliably. The information is fused according to Bayesian and soft-decision principle , thus an optimal judgment on the failure arc is obtained. The conflict of alarming sensitivity and false prediction rate is solved. The system not only can detect and warn the electrical failure of low voltage switchbox, but also can realize early warning for electrical fire hidden trouble of switchbox.

关 键 词：低压配电箱 信息融合 故障电弧 在线检测 

分 类 号：TM93[电气工程—电力电子与电力传动] TP39[自动化与计算机技术—计算机应用技术]