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文章摘要
基于改进阈值去噪的谐波检测
Harmonic detection based on improved threshold de-noising
Received:December 04, 2014  Revised:January 13, 2015
DOI:
中文关键词: 谐波  小波变换  阈值去噪  检测  
英文关键词: Harmonic  Wavelet transforms  Threshold de-noising  Detection
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
WANG Qing-qing* Anhui University of Technology of Telecommunications and Information Engineering,232000 940076723@qq.com 
HUANG You-rui Anhui University of Technology of Telecommunications and Information Engineering,232000  
CHEN Zhen-ping Anhui University of Technology of Telecommunications and Information Engineering,232000  
QU Li-guo Anhui University of Technology of Telecommunications and Information Engineering,232000  
LI Nan Anhui University of Technology of Telecommunications and Information Engineering,232000  
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中文摘要:
      为保证电力系统的安全运行,必须要对谐波进行准确的检测和分析。电力系统中的信号不仅由基波和各次谐波组成,而且还包含大量的噪声,噪声的存在会严重影响电力系统谐波检测的精确性。针对传统的软阈值和硬阈值去噪方法的不足,提出一种基于sym8小波的改进阈值去噪方法。首先用sym8小波对信号5层分解,再用该方法对第一、第二层小波系数去噪优化,最后由优化后的各层系数重构进行谐波检测。在Matlab平台下对比软、硬阈值和改进阈值的去噪效果,表明改进阈值去噪效果更好,并用该方法去噪后检测谐波的准确性明显提高。
英文摘要:
      In order to guarantee the safe operation of power system, it must be detect and analysis the harmonic accurately. Usually the harmonic signal consists of fundamental wave, every harmonic and noise. The existence of much noise will seriously affect the detection precision of the harmonics in power system. In view of the traditional soft threshold and hard threshold de-noising methods have shortcomings, it puts forward a kind of based on sym8 improved wavelet threshold de-noising method. First, the signal decompose on 5 layer by sym8 wavelet, then the detail coefficients of first and second layer use this method to de-noising optimization. Finally, the harmonic detected by the optimized coefficient of each layer reconstruction. In the Matlab platform by comparing the de-noising effect of the soft threshold, hard threshold and improved threshold, it shows that the de-noising effect of improved threshold function is better. With this method improve the accuracy of detecting harmonic obviously after de-noising.
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