{"title":"Statistical analysis of partial discharge data","authors":"M. Bélec, C. Hudon, D. Nguyen","doi":"10.1109/ELINSL.2006.1665272","DOIUrl":null,"url":null,"abstract":"Recently, considerable efforts were deployed at Hydro-Quebec to retrieve all partial discharge (PD) files recorded with the PDA-H instrument over the last 25 years and which were scattered all over in plant computers. These initial raw data files have been centralized on a corporate computer, where all new measurements are now systematically saved. The statistical analysis of the first 10000 files has served as a framework for establishing five levels of discharges severity. This paper presents the results of this statistical analysis which proposes a two dimensional classification of the discharge severity. It also attempts to compare the statistical distribution of the maximum discharge apparent amplitudes with what can be found in the industry. Finally, a description is given to show how the evolution of partial discharges over the years is used in a more general diagnostic process","PeriodicalId":427638,"journal":{"name":"Conference Record of the 2006 IEEE International Symposium on Electrical Insulation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 2006 IEEE International Symposium on Electrical Insulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2006.1665272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Recently, considerable efforts were deployed at Hydro-Quebec to retrieve all partial discharge (PD) files recorded with the PDA-H instrument over the last 25 years and which were scattered all over in plant computers. These initial raw data files have been centralized on a corporate computer, where all new measurements are now systematically saved. The statistical analysis of the first 10000 files has served as a framework for establishing five levels of discharges severity. This paper presents the results of this statistical analysis which proposes a two dimensional classification of the discharge severity. It also attempts to compare the statistical distribution of the maximum discharge apparent amplitudes with what can be found in the industry. Finally, a description is given to show how the evolution of partial discharges over the years is used in a more general diagnostic process