O. Babayomi, P. Oluseyi, N. Ofodile, Godbless Keku
{"title":"特高压输电线故障诊断","authors":"O. Babayomi, P. Oluseyi, N. Ofodile, Godbless Keku","doi":"10.1109/POWERAFRICA.2017.7991243","DOIUrl":null,"url":null,"abstract":"The use of fuzzy and adaptive neuro-fuzzy technique for fault detection, classification and location is presented in this study. Ten different types of electrical faults in a transmission line were investigated. The results obtained show that a high degree of accuracy was recorded for detection, classification and location of electrical faults in the extra-high voltage line. Ongoing studies on the subject are expected to further improve levels of accuracy in fault classification and location especially.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"59 1","pages":"311-316"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fault diagnosis in an extra-high voltage power line\",\"authors\":\"O. Babayomi, P. Oluseyi, N. Ofodile, Godbless Keku\",\"doi\":\"10.1109/POWERAFRICA.2017.7991243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of fuzzy and adaptive neuro-fuzzy technique for fault detection, classification and location is presented in this study. Ten different types of electrical faults in a transmission line were investigated. The results obtained show that a high degree of accuracy was recorded for detection, classification and location of electrical faults in the extra-high voltage line. Ongoing studies on the subject are expected to further improve levels of accuracy in fault classification and location especially.\",\"PeriodicalId\":6601,\"journal\":{\"name\":\"2017 IEEE PES PowerAfrica\",\"volume\":\"59 1\",\"pages\":\"311-316\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE PES PowerAfrica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERAFRICA.2017.7991243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERAFRICA.2017.7991243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault diagnosis in an extra-high voltage power line
The use of fuzzy and adaptive neuro-fuzzy technique for fault detection, classification and location is presented in this study. Ten different types of electrical faults in a transmission line were investigated. The results obtained show that a high degree of accuracy was recorded for detection, classification and location of electrical faults in the extra-high voltage line. Ongoing studies on the subject are expected to further improve levels of accuracy in fault classification and location especially.