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基于改进DTCWT的GIS局部放电信号降噪方法的研究

王永强 张斌 李长元 仲钊 王巨伟 崔博源

高压电器2018,Vol.54Issue(3):10-16,7.
高压电器2018,Vol.54Issue(3):10-16,7.DOI:10.13296/j.1001-1609.hva.2018.03.002

基于改进DTCWT的GIS局部放电信号降噪方法的研究

Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT

王永强 1张斌 1李长元 1仲钊 1王巨伟 1崔博源2

作者信息

  • 1. 华北电力大学河北省输变电设备安全防御重点实验室,河北保定071003
  • 2. 中国电力科学研究院,北京100192
  • 折叠

摘要

Abstract

Weak UHF signal generated by partial discharge in GIS is easy to cover up by various extemal noises.Detection of partial discharge in GIS by using UHF method,the effective noise reduction preprocessing must be adopted.This article proposes a kind of improved method of dual-tree complex wavelet transform (DTCWT) partial discharge UHF signal denoise.This method uses DTCWT to decompose noisy signals into a series of wavelet coefficients and obtains the detail components of the signal at different scales.It also uses kurtosises of time-domain signal and of envelope spectrum to pre-filter detail components sensitively which greatly improving the follow up of maximum kurtosis deconvolution(MKD) denoise efficiency.In order to verify the validity and reliability of this new method,an experiment is conducted about GIS partial discharge UHF signal denoise.The result shows that based on the better exerting of DTCWT shift invariance,the methodof this paper is available to precisely suppress the noise interference of PD signal.Furthermore the screening of detail signal componentscan improve the noise reduction effect evaluation and maintain the original PD signal characteristics.

关键词

改进DTCWT/MKD/信号降噪/特高频/局部放电/平移不变性

Key words

improved dual-tree complex wavelet transform/maximum kurtosis deconvolution/signal denoise/ultrahigh frequency/partial discharge/shift invariance

引用本文复制引用

王永强,张斌,李长元,仲钊,王巨伟,崔博源..基于改进DTCWT的GIS局部放电信号降噪方法的研究[J].高压电器,2018,54(3):10-16,7.

基金项目

国家电网科技项目(1206112011018).Project Supported by Science and Technology Project of the State Grid Corporation(1206112011018). (1206112011018)

高压电器

OA北大核心CSCDCSTPCD

1001-1609

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