Acta Metrologica Sinica  2012, Vol. 33 Issue (5): 446-450    DOI: 10.3969/j.issn.1000-1158.2012.05.14
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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.
Key wordsMetrology      Arc fault detection      Wavelet singularity analysis      LabWindows/CVI      Zero-off-cycle      Multi-threading     
PACS:  TB97  
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ZHENG De-zhong
YU Qiong-fang
YANG Yi
DONG Ai-hua
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ZHENG De-zhong,YU Qiong-fang,YANG Yi, et al. A New Arc Fault Detection Method Based on Wavelet Singularity Analysis and the Achievement on LabWindows/CVI[J]. Acta Metrologica Sinica, 2012, 33(5): 446-450.
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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2012.05.14     OR     http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2012/V33/I5/446
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