{"title":"Recognition of discharge patterns during ageing","authors":"A. Krivda","doi":"10.1109/CEIDP.1995.483733","DOIUrl":null,"url":null,"abstract":"A conventional discharge detection with statistical processing of discharge signals was used to analyze discharge distributions during long-term ageing of a 23 kV epoxy insulator and a 12 kV current transformer. Significant changes of the discharge distributions were observed during these tests. Using cluster analysis techniques, different groups of discharge patterns obtained during ageing were discriminated and a data base of the patterns was created. The data base was then used for the recognition of discharges. The results indicate that satisfactory recognition took place. Selected recognition tools showed a promising potential for industrial application, such as the periodic testing of high voltage (HV) components.","PeriodicalId":121919,"journal":{"name":"Proceedings of 1995 Conference on Electrical Insulation and Dielectric Phenomena","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 Conference on Electrical Insulation and Dielectric Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIDP.1995.483733","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
A conventional discharge detection with statistical processing of discharge signals was used to analyze discharge distributions during long-term ageing of a 23 kV epoxy insulator and a 12 kV current transformer. Significant changes of the discharge distributions were observed during these tests. Using cluster analysis techniques, different groups of discharge patterns obtained during ageing were discriminated and a data base of the patterns was created. The data base was then used for the recognition of discharges. The results indicate that satisfactory recognition took place. Selected recognition tools showed a promising potential for industrial application, such as the periodic testing of high voltage (HV) components.
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