{"title":"架空配电线路雷电过电压的神经网络统计评价","authors":"J.A. Martinez, F. Gonzalez-Molina","doi":"10.1109/PESW.2001.917231","DOIUrl":null,"url":null,"abstract":"The evaluation of the lightning performance of overhead distribution lines, usually characterized by a flashover rate, can be a hard and long task due to the random nature of the lightning phenomenon, this evaluation is generally based on statistical calculations. The application of a neural network can shorten the flashover rate calculation. This paper presents a summary of the work performed by the authors to analyze the lightning performance of unshielded overhead distribution lines using neural networks. The document includes a discussion on the advantages and limitations of the developed approach.","PeriodicalId":253534,"journal":{"name":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Statistical evaluation of lightning overvoltages on overhead distribution lines using neural networks\",\"authors\":\"J.A. Martinez, F. Gonzalez-Molina\",\"doi\":\"10.1109/PESW.2001.917231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The evaluation of the lightning performance of overhead distribution lines, usually characterized by a flashover rate, can be a hard and long task due to the random nature of the lightning phenomenon, this evaluation is generally based on statistical calculations. The application of a neural network can shorten the flashover rate calculation. This paper presents a summary of the work performed by the authors to analyze the lightning performance of unshielded overhead distribution lines using neural networks. The document includes a discussion on the advantages and limitations of the developed approach.\",\"PeriodicalId\":253534,\"journal\":{\"name\":\"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESW.2001.917231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESW.2001.917231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical evaluation of lightning overvoltages on overhead distribution lines using neural networks
The evaluation of the lightning performance of overhead distribution lines, usually characterized by a flashover rate, can be a hard and long task due to the random nature of the lightning phenomenon, this evaluation is generally based on statistical calculations. The application of a neural network can shorten the flashover rate calculation. This paper presents a summary of the work performed by the authors to analyze the lightning performance of unshielded overhead distribution lines using neural networks. The document includes a discussion on the advantages and limitations of the developed approach.