{"title":"Strain measurement based on Brillouin gain spectrum under non-uniform strain using neural network","authors":"H. Naruse, T. Kurokawa, S. Narieda","doi":"10.1364/ofs.2022.th4.19","DOIUrl":null,"url":null,"abstract":"This study proposes a strain measurement method based on the Brillouin gain spectrum under nonuniform strain using a neural network. The basic measurement characteristics are investigated via simulations. Additionally, high-accuracy and high-speed measurements are verified.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Optical Fiber Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ofs.2022.th4.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes a strain measurement method based on the Brillouin gain spectrum under nonuniform strain using a neural network. The basic measurement characteristics are investigated via simulations. Additionally, high-accuracy and high-speed measurements are verified.
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