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文章摘要
基于小波包和S变换的电火花机床用电负荷信号处理
Signal processing on the electricity load of EDM based on wavelet packet and S-transform
Received:June 17, 2016  Revised:June 17, 2016
DOI:
中文关键词: 电火花机  s变换  滤波
英文关键词: EDM, s-transform, filter
基金项目:国家高技术研究发展计划计划(863计划)(2014AA052003)
Author NameAffiliationE-mail
Zheng Wei* Beihang University zhengweihao2@163.com 
Zhuang Jian State Grid Tianjin electric power company zbchu@hfut.edu.cn 
Liu Jinquan XJ GROUP CORPORATION,Xuchang Henan jinquanl@foxmail.com 
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中文摘要:
      电火花机床工况下的用电负荷是的典型脉冲电能形式之一。本文采用不同小波基函数、阀值对电火花用电负荷特性进行去噪处理,并提出一种基于s变换的脉冲电能质量突变信息识别方法。分析结果表明,该方法提取准确率高。
英文摘要:
      ABSTRACT:The load of electro discharge machining (EDM) is one of typical pulsed power loads, in order to study the de-noise processing of the electricity load characteristics of EDM by choosing various wavelet basis function and threshold value ,and the paper proposes a new approach to detect and classify power quality disturbances by combining with the S-transform. The method can improve the accuracy of signal extraction and resistances to noise.
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