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  

A New Arc Fault Detection Method Based on Wavelet Singularity Analysis and the Achievement on LabWindows/CVI

作　　者：郑德忠[1] 余琼芳[1,2] 杨艺[2] 董爱华[2] 

机构地区：[1]燕山大学河北省测试计量技术及仪器重点实验室,河北秦皇岛066004 [2]河南理工大学电气工程及自动化学院,河南焦作454000

出　　处：《计量学报》2012年第5期446-451,共6页Acta Metrologica Sinica

基　　金：国家教育部博士点基金（2006021600）;河南省科技攻关项目（0624460012）

摘　　要：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Lahwindows／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孤的实时在线检测。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 are fault is proposed. LabWindows/CVI is used as the platform, based on wavelet singularity detection principle, the are 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.

关 键 词：计量学 故障电弧检测 小波奇异性分析 LABWINDOWS/CVI 周期零休 多线程 

分 类 号：TB97[一般工业技术—计量学]