{"title":"Research on ultrasonic array positioning of Partial Discharge in GIS based on Incoherent Signal Subspace Method","authors":"Long Li, Hua Yin, Wenbin Zhao, Zhimin Wu","doi":"10.1109/AEERO52475.2021.9708338","DOIUrl":null,"url":null,"abstract":"Partial discharge is the main reason of insulation aging of GIS equipment. It is very important to find and locate the location of partial discharge for safe operation of GIS equipment. In this paper, we use an array of $2 \\times 3$ approximate planes, and the detected data is denoised by sparse decomposition theory. According to the waveform comparison before and after denoising, the output signal-to-noise ratio of each array element is significantly improved compared with the input signal-to-noise ratio. Then the Incoherent Signal Subspace Method (ISM) algorithm is used for simulation, the analysis results show that the original data is de-noising, and then the Incoherent Signal Subspace Method (ISM) is used for simulation, which shows that the direction finding spectrum peak is concentrated and sharp after de-noising, and the direction finding effect has been improved to a certain extent.","PeriodicalId":6828,"journal":{"name":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","volume":"60 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEERO52475.2021.9708338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Partial discharge is the main reason of insulation aging of GIS equipment. It is very important to find and locate the location of partial discharge for safe operation of GIS equipment. In this paper, we use an array of $2 \times 3$ approximate planes, and the detected data is denoised by sparse decomposition theory. According to the waveform comparison before and after denoising, the output signal-to-noise ratio of each array element is significantly improved compared with the input signal-to-noise ratio. Then the Incoherent Signal Subspace Method (ISM) algorithm is used for simulation, the analysis results show that the original data is de-noising, and then the Incoherent Signal Subspace Method (ISM) is used for simulation, which shows that the direction finding spectrum peak is concentrated and sharp after de-noising, and the direction finding effect has been improved to a certain extent.