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提升双树复小波在GIS局部放电监测白噪声抑制的应用

叶会生 陈晓林 周挺 段肖力 谢耀恒 李欣

高电压技术2017,Vol.43Issue(3):851-858,8.
高电压技术2017,Vol.43Issue(3):851-858,8.DOI:10.13336/j.1003-6520.hve.20170303022

提升双树复小波在GIS局部放电监测白噪声抑制的应用

Application of White-noise Suppression in Gas Insulated Switchgear Partial Discharge Monitoring Based on Lifting Dual-tree Complex Wavelet Transform

叶会生 1陈晓林 2周挺 3段肖力 1谢耀恒 1李欣1

作者信息

  • 1. 国网湖南省电力公司电力科学研究院,长沙410007
  • 2. 湖南大学电气与信息工程学院,长沙410082
  • 3. 国网湖南省电力公司,长沙410007
  • 折叠

摘要

Abstract

Weak partial discharge signals are always overwhelmed by white-noise in GIS partial discharge online monitoring.So how to suppress white-noise plays an important part in GIS partial discharge online monitoring.However,the first generation wavelet denoising algorithm has a large amount of calculation and poor denoising efficiency.In order to suppress white-noise more efficiently and quickly,we put forward a method that the lifting dual-tree complex wavelet is transformed into the white-noise suppression research because of the disadvantages of the first generation wavelet denoising algorithm.This algorithm is obtained by lifting the first generation dual-tree complex wavelet transform,and it combines the excellent denoising ability of complex wavelet transform and the high calculation efficiency of lifting wavelet transform.Then the online monitoring soft software system uses this algorithm as the core of calculation module to do field monitoring experiment.The results of simulation and experiment show that,compared with other denoising algorithms,the lifting dual-tree complex wavelet transform calculation speed is increased by 83%,memory occupancy is reduced by nearly 50 percent,the signal-to-noise ratio is improved,and waveform similarity coefficient is much closer to 1,which can better meet the the requirements of real-time in GIS partial discharge online monitoring,and has higher application value in the engineering practice.

关键词

白噪声/气体绝缘金属封闭开关/局部放电/去噪/在线监测/提升双树复小波

Key words

white-noise/GIS/partial discharge/denoise/online monitoring/lifting dual-tree complex wavelet

引用本文复制引用

叶会生,陈晓林,周挺,段肖力,谢耀恒,李欣..提升双树复小波在GIS局部放电监测白噪声抑制的应用[J].高电压技术,2017,43(3):851-858,8.

基金项目

国家自然科学基金(61102039) (61102039)

国家重点基础技术研究发展计划(973计划)(2012CB215106) (973计划)

国家高技术研究发展计划(863计划)(2014AA052600) (863计划)

教育部新世纪优秀人才支持计划(NCET-11-0130).Project supported by National Natural Science Foundation of China (61102039),National Basic Research Project of China (973 Program) (2012CB215106),National High-tech Research and Development of China (863 Program) (2014AA052600),Program for New Century Excellent Talents in University of Ministry of Education of China (NCET-11-0130). (NCET-11-0130)

高电压技术

OA北大核心CSCDCSTPCD

1003-6520

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