基于压缩感知的超高频局部放电信号恢复方法

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI:10.1109/SDPC.2019.00152

Q. Gao, Qi Liu, Zhannan Guo, Nan Zhou, Zhen Li

{"title":"基于压缩感知的超高频局部放电信号恢复方法","authors":"Q. Gao, Qi Liu, Zhannan Guo, Nan Zhou, Zhen Li","doi":"10.1109/SDPC.2019.00152","DOIUrl":null,"url":null,"abstract":"The ultra-high frequency (UHF) signal based partial discharge localization method has not been widely used in substations due to the difficulty in signal sampling. The frequency range of partial discharge UHF signal is from 300MHz to 3GHz, which has exceeded the sampling range of most synchronous multi-channel sampling devices. In this paper, a novel partial discharge UHF signal sampling method based on compressive is proposed. The random Gaussian matrix is used as the measurement matrix and the Orthogonal Matching Pursuit (OMP) algorithm is used as the signal reconstruction algorithm. The sparse partial discharge signal is captured and represented at a rate significantly below the Nyquist rate. Simulation tests and field tests have verified the feasibility of the proposed method. The sampling frequency of the UHF partial discharge signal is reduced from 2.5GS/s to 550MS/s in simulation tests and is reduced from 4GS/s to 800MS/s in field tests.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UHF Partial Discharge Signal Recovery Method Based on Compressive Sensing\",\"authors\":\"Q. Gao, Qi Liu, Zhannan Guo, Nan Zhou, Zhen Li\",\"doi\":\"10.1109/SDPC.2019.00152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ultra-high frequency (UHF) signal based partial discharge localization method has not been widely used in substations due to the difficulty in signal sampling. The frequency range of partial discharge UHF signal is from 300MHz to 3GHz, which has exceeded the sampling range of most synchronous multi-channel sampling devices. In this paper, a novel partial discharge UHF signal sampling method based on compressive is proposed. The random Gaussian matrix is used as the measurement matrix and the Orthogonal Matching Pursuit (OMP) algorithm is used as the signal reconstruction algorithm. The sparse partial discharge signal is captured and represented at a rate significantly below the Nyquist rate. Simulation tests and field tests have verified the feasibility of the proposed method. The sampling frequency of the UHF partial discharge signal is reduced from 2.5GS/s to 550MS/s in simulation tests and is reduced from 4GS/s to 800MS/s in field tests.\",\"PeriodicalId\":403595,\"journal\":{\"name\":\"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SDPC.2019.00152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDPC.2019.00152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

基于超高频(UHF)信号的局部放电定位方法由于信号采样困难，在变电站中尚未得到广泛应用。部分放电UHF信号的频率范围为300MHz ~ 3GHz，已经超过了大多数同步多通道采样设备的采样范围。提出了一种基于压缩的局部放电超高频信号采样方法。采用随机高斯矩阵作为测量矩阵，正交匹配追踪(OMP)算法作为信号重构算法。稀疏的局部放电信号被捕获并以明显低于奈奎斯特速率的速率表示。仿真试验和现场试验验证了该方法的可行性。UHF局部放电信号的采样频率在模拟试验中从2.5GS/s降低到550MS/s，在现场试验中从4GS/s降低到800MS/s。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

UHF Partial Discharge Signal Recovery Method Based on Compressive Sensing

The ultra-high frequency (UHF) signal based partial discharge localization method has not been widely used in substations due to the difficulty in signal sampling. The frequency range of partial discharge UHF signal is from 300MHz to 3GHz, which has exceeded the sampling range of most synchronous multi-channel sampling devices. In this paper, a novel partial discharge UHF signal sampling method based on compressive is proposed. The random Gaussian matrix is used as the measurement matrix and the Orthogonal Matching Pursuit (OMP) algorithm is used as the signal reconstruction algorithm. The sparse partial discharge signal is captured and represented at a rate significantly below the Nyquist rate. Simulation tests and field tests have verified the feasibility of the proposed method. The sampling frequency of the UHF partial discharge signal is reduced from 2.5GS/s to 550MS/s in simulation tests and is reduced from 4GS/s to 800MS/s in field tests.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

自引率

0.00%

发文量