摘要
故障电弧是引发电气火灾的重要原因之一。将形态小波引入故障电弧研究领域,利用LabVIEW软件设计了形态小波分析模块,实现对信号波形的可视化分析。利用该模块结合新型测试系统,对台灯、微波炉、空调和计算机等常见家用负载的正常及故障电弧波形进行实际采集和分析。对混合负载情况下不同位置的故障电弧特征进行了形态小波分析,为构建智能化通用故障电弧诊断模型进行了初步的探索。
The fault arc is one of the most important reasons causing electrical fire accidents. The morphological wavelet was introduced into the research about fault arc to solve this problem. The analysis module of morphological wavelet was developed by LabVIEW. Combined with the new testing system, the normal and fault arc waveforms of some residential loads were sampled and analyzed by the module. Also the characters of the fault arc which oceured in different positions with the mixed loads were analyzed. It makes a new exploration for setting up an intelligent universal diagnostic model about fault are.
出处
《低压电器》
2013年第20期1-4,31,共5页
Low Voltage Apparatus
关键词
故障电弧
形态小波
混合负载
诊断模型
fault arc
morphological wavelet
mixed load
diagnostic model
