Sheng-wei Gao, Mu Zhang, Chen-hu Yuan, Xing-tao Sun, Chuang Zhang
{"title":"Wavelet Packet Analyzing of Power Transformer Partial Discharge Signals","authors":"Sheng-wei Gao, Mu Zhang, Chen-hu Yuan, Xing-tao Sun, Chuang Zhang","doi":"10.1109/ICCASE.2011.5997569","DOIUrl":null,"url":null,"abstract":"It is very important and effective that the online monitoring of partial discharge(PD) for the transformer to detecting defects. The sensitivity of online monitoring system has been influenced by strong external interference. With the development of computer and signal processing technology, many digital signal processing technologies, such as infinite impulse response filter, finite impulse response filter and wavelet analysis, have been used to extract the PD within the strong background noise. The wavelet packet analyzing about the PD online monitoring has been discussed in this article.By analyzing the simulation signals of PD. It has been proved that wavelet packet analyzing is convenient, effective, and can improve the sensitivity in PD online measurement system.","PeriodicalId":369749,"journal":{"name":"2011 International Conference on Control, Automation and Systems Engineering (CASE)","volume":"15 S2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Control, Automation and Systems Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCASE.2011.5997569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
It is very important and effective that the online monitoring of partial discharge(PD) for the transformer to detecting defects. The sensitivity of online monitoring system has been influenced by strong external interference. With the development of computer and signal processing technology, many digital signal processing technologies, such as infinite impulse response filter, finite impulse response filter and wavelet analysis, have been used to extract the PD within the strong background noise. The wavelet packet analyzing about the PD online monitoring has been discussed in this article.By analyzing the simulation signals of PD. It has been proved that wavelet packet analyzing is convenient, effective, and can improve the sensitivity in PD online measurement system.