{"title":"基于判别树的配电线路故障诊断","authors":"M. Togami, N. Abe, T. Kitahashi, H. Ogawa","doi":"10.1109/TAI.1992.246452","DOIUrl":null,"url":null,"abstract":"A method for creating a discrimination tree and its application in a machine-learning-based power fault diagnosis system are discussed. An algorithm for diagnosing a single distribution line that is developed automatically by the machine learning system is presented. The performance of machine learning for fault diagnosis using a discrimination tree, an artificial neural network, and an expert system are compared.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"68 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault diagnosis of power distribution lines by using discrimination tree\",\"authors\":\"M. Togami, N. Abe, T. Kitahashi, H. Ogawa\",\"doi\":\"10.1109/TAI.1992.246452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for creating a discrimination tree and its application in a machine-learning-based power fault diagnosis system are discussed. An algorithm for diagnosing a single distribution line that is developed automatically by the machine learning system is presented. The performance of machine learning for fault diagnosis using a discrimination tree, an artificial neural network, and an expert system are compared.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"68 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault diagnosis of power distribution lines by using discrimination tree
A method for creating a discrimination tree and its application in a machine-learning-based power fault diagnosis system are discussed. An algorithm for diagnosing a single distribution line that is developed automatically by the machine learning system is presented. The performance of machine learning for fault diagnosis using a discrimination tree, an artificial neural network, and an expert system are compared.<>