基于光纤分布式声传感器(DAS)的地面振动源二维定位方法

Yufeng Wang, Xinyu Liu, Yuwen Sun, Liang Liu, Yunlin Tu, Huijuan Wu, Yunjiang Rao
{"title":"基于光纤分布式声传感器(DAS)的地面振动源二维定位方法","authors":"Yufeng Wang, Xinyu Liu, Yuwen Sun, Liang Liu, Yunlin Tu, Huijuan Wu, Yunjiang Rao","doi":"10.1364/ofs.2022.w4.23","DOIUrl":null,"url":null,"abstract":"2-D localization of ground vibration for DAS is realized by extracting the spatial attenuation feature and mapping its relationship with the radial distances by a deep learning network. Field tests prove its effectiveness.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-Dimensional (2-D) Localization Method of Ground Vibration Source with Fiber-Optic Distributed Acoustic Sensors (DAS)\",\"authors\":\"Yufeng Wang, Xinyu Liu, Yuwen Sun, Liang Liu, Yunlin Tu, Huijuan Wu, Yunjiang Rao\",\"doi\":\"10.1364/ofs.2022.w4.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"2-D localization of ground vibration for DAS is realized by extracting the spatial attenuation feature and mapping its relationship with the radial distances by a deep learning network. Field tests prove its effectiveness.\",\"PeriodicalId\":265406,\"journal\":{\"name\":\"27th International Conference on Optical Fiber Sensors\",\"volume\":\"26 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.w4.23\",\"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.w4.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

利用深度学习网络提取空间衰减特征并映射其与径向距离的关系,实现了地面振动的二维定位。现场试验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-Dimensional (2-D) Localization Method of Ground Vibration Source with Fiber-Optic Distributed Acoustic Sensors (DAS)
2-D localization of ground vibration for DAS is realized by extracting the spatial attenuation feature and mapping its relationship with the radial distances by a deep learning network. Field tests prove its effectiveness.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信