一种新型基于小波奇异性分析的故障电弧检测方法的LabWindows/CVI实现

摘要

Based on the analysis of arc fault characteristics, the phenomenon of zero-off-cycle of arc fault is proposed. This characteristic information is showed as periodic singular points if it is analyzed by wavelet, so a new algorithm, periodic singular points detection for arc fault is proposed. LabWindows/CVI is used as the platform, based on wavelet singularity detection principle, the arc fault on-line detection system is designed and developed. The system used multi-threading technology, realized the arc fault' s real-time on-line detection.%在分析了故障电弧特性的基础上,提出了故障电弧周期零休的特征信息,该信息用小波分析时表现为周期性的奇异点,据此提出了周期性奇异点检测故障电弧的新算法.以LabWindows/CVI为平台,设计开发了基于小波奇异性检测原理的故障电弧在线检测系统,该系统运用多线程技术实现了对故障电弧的实时在线检测.