{"title":"基于非均匀应变下布里渊增益谱的神经网络应变测量","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":"{\"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}","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}
Strain measurement based on Brillouin gain spectrum under non-uniform strain using neural network
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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