{"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}
引用次数: 0
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.<>
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