{"title":"Temperature profile extraction using artificial neural network in BOTDA sensor system","authors":"A. Azad, Liang Wang, N. Guo, C. Lu, H. Tam","doi":"10.1109/OECC.2015.7340143","DOIUrl":null,"url":null,"abstract":"We propose and demonstrate Artificial Neural Network (ANN) based temperature profile extraction from local Brillouin gain spectrum in BOTDA fiber sensor system. Results show that ANN can adopt large frequency scanning step and hence reduce BOTDA measurement time significantly.","PeriodicalId":312790,"journal":{"name":"2015 Opto-Electronics and Communications Conference (OECC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Opto-Electronics and Communications Conference (OECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OECC.2015.7340143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We propose and demonstrate Artificial Neural Network (ANN) based temperature profile extraction from local Brillouin gain spectrum in BOTDA fiber sensor system. Results show that ANN can adopt large frequency scanning step and hence reduce BOTDA measurement time significantly.