{"title":"基于多载波反射法的实时智能电网故障检测与定位电力电缆网络拓扑重构","authors":"W. B. Hassen, M. Kafal, E. Cabanillas, J. Benoit","doi":"10.1109/CMD.2018.8535596","DOIUrl":null,"url":null,"abstract":"Several approaches have been proposed and applied for reconstructing the topology of an unknown network. Although, promising results have been obtained, offline passive testing was only accessible. On the other hand, a wide range of wiring networks embedded in critical systems as power grids and power-plants can not be easily shutdown for testing purposes. Accordingly, we will propose in this paper an approach for diagnosing obscured networks in an on-line live mode, thanks to the Orthogonal Multi-tone Time Domain Reflectometry (OMTDR). Optimization techniques namely the genetic algorithm will be integrated with the OMTDR method to enable revealing the topology of the black-boxed tested network. Practical real-life experimental setups are dedicated to validate the proposed approach.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"46 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Power Cable Network Topology Reconstruction Using Multi-carrier Reflectometry for Fault Detection and Location in Live Smart Grids\",\"authors\":\"W. B. Hassen, M. Kafal, E. Cabanillas, J. Benoit\",\"doi\":\"10.1109/CMD.2018.8535596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several approaches have been proposed and applied for reconstructing the topology of an unknown network. Although, promising results have been obtained, offline passive testing was only accessible. On the other hand, a wide range of wiring networks embedded in critical systems as power grids and power-plants can not be easily shutdown for testing purposes. Accordingly, we will propose in this paper an approach for diagnosing obscured networks in an on-line live mode, thanks to the Orthogonal Multi-tone Time Domain Reflectometry (OMTDR). Optimization techniques namely the genetic algorithm will be integrated with the OMTDR method to enable revealing the topology of the black-boxed tested network. Practical real-life experimental setups are dedicated to validate the proposed approach.\",\"PeriodicalId\":6529,\"journal\":{\"name\":\"2018 Condition Monitoring and Diagnosis (CMD)\",\"volume\":\"46 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Condition Monitoring and Diagnosis (CMD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMD.2018.8535596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Condition Monitoring and Diagnosis (CMD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMD.2018.8535596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power Cable Network Topology Reconstruction Using Multi-carrier Reflectometry for Fault Detection and Location in Live Smart Grids
Several approaches have been proposed and applied for reconstructing the topology of an unknown network. Although, promising results have been obtained, offline passive testing was only accessible. On the other hand, a wide range of wiring networks embedded in critical systems as power grids and power-plants can not be easily shutdown for testing purposes. Accordingly, we will propose in this paper an approach for diagnosing obscured networks in an on-line live mode, thanks to the Orthogonal Multi-tone Time Domain Reflectometry (OMTDR). Optimization techniques namely the genetic algorithm will be integrated with the OMTDR method to enable revealing the topology of the black-boxed tested network. Practical real-life experimental setups are dedicated to validate the proposed approach.