{"title":"Fuzzy critical analysis for an electric generator protection system","authors":"M. Dumitrescu","doi":"10.1109/IS.2008.4670403","DOIUrl":null,"url":null,"abstract":"The paper explains fuzzy critical analysis for the electric generator (EG) protection system. Power system electric generator (EG) is protected to various types of faults and abnormal workings. The protection system (PS) is composed of waiting subsystems, which must properly respond to each kind of dangerous events. An original fuzzy logic- system enables us to analyze the qualitative evaluation of the event-tree, modeling PS behavior. Fuzzy - set logic is used to account for imprecision and uncertainty in data while employing event-tree analysis. The fuzzy event-tree logic allows the use of verbal statement for the probabilities and consequences, such as very high, moderate and low probability.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 4th International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2008.4670403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper explains fuzzy critical analysis for the electric generator (EG) protection system. Power system electric generator (EG) is protected to various types of faults and abnormal workings. The protection system (PS) is composed of waiting subsystems, which must properly respond to each kind of dangerous events. An original fuzzy logic- system enables us to analyze the qualitative evaluation of the event-tree, modeling PS behavior. Fuzzy - set logic is used to account for imprecision and uncertainty in data while employing event-tree analysis. The fuzzy event-tree logic allows the use of verbal statement for the probabilities and consequences, such as very high, moderate and low probability.