Surrounding ambient features analysis of existing communication optical cable by using DAS Big-Data-Reference-Cited by-同舟云学术

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Surrounding ambient features analysis of existing communication optical cable by using DAS Big-Data

Published:2024-08 Issue: Volume:175 Page:110772
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Zhan Yage,Zhang Wenzhuo,Xu Long,Han Min,Wang Zhaoyong,Yang Junqi,Liu Yifan,Ye Qing

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Chinese Academy of Sciences Youth Innovation Promotion Association

Shanghai Rising-Star Program

Publisher

Elsevier BV

Reference24 articles.

1. M. Riedel et al., “Underground Vertical Seismic Profiling with Conventional and Fiber-Optic Systems for Exploration in the Kylylahti Polymetallic Mine, Eastern Finland,” Minerals, vol. 8, no. 11, Nov 2018, Art no. 538, doi: 10.3390/min8110538.

2. G. Byerley, D. Monk, M. Yates, and P. Aaron, “Time-lapse seismic monitoring of individual hydraulic-frac stages using a downhole DAS array: Part 1 — Field experiment and observations,” in SEG Technical Program Expanded Abstracts 2018, 2018.

3. D. Milne, A. Masoudi, E. Ferro, G. Watson, and L. Le Pen, “An analysis of railway track behaviour based on distributed optical fibre acoustic sensing,” Mechanical Systems and Signal Processing, vol. 142, Aug 2020, Art no. 106769, doi: 10.1016/j.ymssp.2020.106769.

4. Practical multi-class event classification approach for distributed vibration sensing using deep dual path network;Wang;Opt. Express.,2019

5. Real-Time Position and Speed Monitoring of Trains Using Phase-Sensitive OTDR;Peng;IEEE Photon. Technol. Lett.,2014

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