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A New Arc Fault Detection Method Based on Wavelet Singularity Analysis and the Achievement on LabWindows/CVI |
ZHENG De-zhong1,YU Qiong-fang1,2,YANG Yi2,DONG Ai-hua2 |
1. Measurement Tech. and Instrum. Key Lab of Heibei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, Henan 454000, China |
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Abstract 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.
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