{"title":"Estimating Parallel Transmission Line Fault Using Phasor Measurement Unit based Artificial Neural Network","authors":"S. Chauhan, R. Dahiya","doi":"10.52547/mjee.16.1.33","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":37804,"journal":{"name":"Majlesi Journal of Electrical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Majlesi Journal of Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/mjee.16.1.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
期刊介绍:
The scope of Majlesi Journal of Electrcial Engineering (MJEE) is ranging from mathematical foundation to practical engineering design in all areas of electrical engineering. The editorial board is international and original unpublished papers are welcome from throughout the world. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published. There is no publication charge for the authors.