基于同步压缩小波法的行波故障测距应用研究

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英文篇名：Application of Traveling Wave Fault Location Based on Synchronous Compression Wavelet Method 作者：陈雅芳 ; 蔡世翔 英文作者：CHEN Ya-fang;CAI Shi-xiang;Guangzhou Zhong Guang Electric Technology Co.,LTD.;Guangdong Power Grid Company Yunfu Power Supply Bureau; 关键词：行波测距 ; 同步压缩小波变换 ; 时频算法 ; 分辨率 英文关键词：traveling wave ranging;;synchrosqueezing wavelet transform;;time-frequency algorithm;;resolution ratio 中文刊名：TXDY 英文刊名：Telecom Power Technology 机构：广州中光电气科技有限公司;广东电网公司云浮供电局; 出版日期：2018-04-25 出版单位：通信电源技术 年：2018 期：v.35;No.172 语种：中文; 页：TXDY201804033 页数：4 CN：04 ISSN：42-1380/TN 分类号：88-91

摘要

同步压缩小波变换(Synchrosqueezing Wavelet Transform,SWT)属于一种时频重排算法。SWT利用连续小波变换后信号时频域中相位的特点,求取各尺度下对应的频率,然后将同一频率下的尺度相加。相较于传统连续小波变换方法,SWT具有更高的分辨率。
        Synchrosqueezing Wavelet Transform SWT is a kind of time-frequency reassignment algorithm, but the algorithm is different from the original rearrangement. SWT principle is based on continuous wavelet transform in the frequency domain phase characteristics of the signal, for each scale, the corresponding frequency, then sum scale of the same frequency. Compared with the traditional wavelet transform it has higher resolution.

引文

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