{"title":"配电系统可靠性评估的数据需求","authors":"A. Pahwa, S. Gupta, R.E. Brown","doi":"10.1109/PESS.2002.1043426","DOIUrl":null,"url":null,"abstract":"In this paper, a fuzzy-adaptive model for prediction of failure rates of overhead power distribution lines based on physical and weather related features is presented. The input data used and the results obtained are discussed. Also, results on sensitivity of failure rates to input features are provided. The overall aim of this presentation is to outline a methodology for feature-based prediction of failure rates of distribution system components. Since this method heavily depends of the input data and their accuracy, need for such databases is stressed.","PeriodicalId":117177,"journal":{"name":"IEEE Power Engineering Society Summer Meeting,","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Data needs for reliability assessment of distribution systems\",\"authors\":\"A. Pahwa, S. Gupta, R.E. Brown\",\"doi\":\"10.1109/PESS.2002.1043426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a fuzzy-adaptive model for prediction of failure rates of overhead power distribution lines based on physical and weather related features is presented. The input data used and the results obtained are discussed. Also, results on sensitivity of failure rates to input features are provided. The overall aim of this presentation is to outline a methodology for feature-based prediction of failure rates of distribution system components. Since this method heavily depends of the input data and their accuracy, need for such databases is stressed.\",\"PeriodicalId\":117177,\"journal\":{\"name\":\"IEEE Power Engineering Society Summer Meeting,\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Power Engineering Society Summer Meeting,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESS.2002.1043426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Power Engineering Society Summer Meeting,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESS.2002.1043426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data needs for reliability assessment of distribution systems
In this paper, a fuzzy-adaptive model for prediction of failure rates of overhead power distribution lines based on physical and weather related features is presented. The input data used and the results obtained are discussed. Also, results on sensitivity of failure rates to input features are provided. The overall aim of this presentation is to outline a methodology for feature-based prediction of failure rates of distribution system components. Since this method heavily depends of the input data and their accuracy, need for such databases is stressed.
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