Kee-Young Park, Hyung-kee Choi, Chul-Hee Lee, Soo-mi Hong
{"title":"A Study on Partial Discharge Diagnostic System for Power Cable using RLCR","authors":"Kee-Young Park, Hyung-kee Choi, Chul-Hee Lee, Soo-mi Hong","doi":"10.18770/KEPCO.2016.02.01.043","DOIUrl":null,"url":null,"abstract":"This system is a diagnosis system that checks whether it causes a partial discharge of a power cable or not. It is to classify normal from abnormal-normal, PD (Partial Discharge) sound through analysis of RLCR (Relative Level Crossing Rate) and spectrogram energy algorithm. Partial discharge diagnostic system has a function that stores PD sound and analyzes the data. The wave shape of PD sound is similar to noise and is systematically generated by partial discharge. Therefore, in this paper, we could discreminate between normal and abnormal case using relative level crossing rate (RLCR) and spectrogram of frequency energy rate.","PeriodicalId":445819,"journal":{"name":"KEPCO Journal on electric power and energy","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"KEPCO Journal on electric power and energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18770/KEPCO.2016.02.01.043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This system is a diagnosis system that checks whether it causes a partial discharge of a power cable or not. It is to classify normal from abnormal-normal, PD (Partial Discharge) sound through analysis of RLCR (Relative Level Crossing Rate) and spectrogram energy algorithm. Partial discharge diagnostic system has a function that stores PD sound and analyzes the data. The wave shape of PD sound is similar to noise and is systematically generated by partial discharge. Therefore, in this paper, we could discreminate between normal and abnormal case using relative level crossing rate (RLCR) and spectrogram of frequency energy rate.