Recent progress in distributed Brillouin scattering fiber sensors (Invited)

被引:0
|
作者
Tur, Moshe [1 ]
Motil, Avi [1 ]
Sovran, Ido [1 ]
Bergman, Arik [1 ]
机构
[1] Tel Aviv Univ, Fac Engn, IL-6997801 Tel Aviv, Israel
来源
2014 IEEE SENSORS | 2014年
基金
以色列科学基金会;
关键词
Optical fiber sensors; Brillouin; distributed sensing; FREQUENCY-DOMAIN ANALYSIS; ORDER SPATIAL-RESOLUTION; STRAIN-MEASUREMENT; OPTICAL-FIBERS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An overview of recent progress in the field of distributed fiber-optic sensors based on stimulated Brillouin scattering (SBS) is presented. SBS sensors provide distributed measurements of temperature and strain, in which every segment of standard fiber serves as a sensing element. The fundamental measurement configuration was first proposed in the late 1980's, and commercial systems are available since the 1990's. The technology is being adopted by the oil and gas, energy, civil engineering and aerospace sectors. Examples of several recent and significant advances include the extension of the measurement range beyond 100 km; cm-scale spatial resolution over km-scale lengths; range and spatial resolution improvement, using elaborate radar coding techniques; the use of polarization-maintaining fibers to differentiate between strain and temperature; dynamic measurements of fast (similar to millisecond) events; and finally performance modeling and the emergence of guidelines and figures of merit.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] Long-Term Monitoring of a Tunnel in a Landslide Prone Area by Brillouin-Based Distributed Optical Fiber Sensors
    Minardo, Aldo
    Catalano, Ester
    Coscetta, Agnese
    Zeni, Giovanni
    Di Maio, Caterina
    Vassallo, Roberto
    Picarelli, Luciano
    Coviello, Roberto
    Macchia, Giuseppe
    Zeni, Luigi
    SENSORS, 2021, 21 (21)
  • [32] Brillouin Frequency Shift of Fiber Distributed Sensors Extracted from Noisy Signals by Quadratic Fitting
    Zheng, Hanrong
    Fang, Zujie
    Wang, Zhaoyong
    Lu, Bin
    Cao, Yulong
    Ye, Qing
    Qu, Ronghui
    Cai, Haiwen
    SENSORS, 2018, 18 (02):
  • [33] Characterization of Distributed Brillouin Sensors Based on Elliptical-Core Two-Mode Fiber
    Kim, Yong Hyun
    Song, Kwang Yong
    IEEE SENSORS JOURNAL, 2019, 19 (06) : 2155 - 2161
  • [34] Distributed fiber-optic Brillouin sensing in the frequency domain
    Bernini, R
    Minardo, A
    Zeni, L
    Soldovieri, F
    Crocco, L
    SECOND EUROPEAN WORKSHOP ON OPTICAL FIBRE SENSORS: PROCEEDINGS, 2004, 5502 : 500 - 503
  • [35] Reconstruction of Distributed Strain Profile Using a Weighted Spectrum Decomposition Algorithm for Brillouin Scattering Based Fiber Optic Sensor
    Mei, Ying
    Xu, Xiaomin
    Luo, Linqing
    Soga, Kenichi
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (22) : 6385 - 6392
  • [36] Simultaneous temperature and strain monitoring of composite cure using a Brillouin-scattering-based distributed fiber optic sensor
    Huang, C
    Bao, X
    Zeng, X
    Arcand, A
    Lee-Sullivan, P
    SMART STRUCTURES AND MATERIALS 2001: SENSORY PHENOMENA AND MEASUREMENT INSTRUMENTATION FOR SMART STRUCTURES AND MATERIALS, 2001, 4328 : 70 - 78
  • [37] Distributed sensing: from Rayleigh to Brillouin scattering
    Bao, Xiaoyi
    Snoddy, Jeff
    Li, Yun
    Li, Wenhai
    Chen, Liang
    2009 14TH OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2009), 2009, : 859 - 860
  • [38] Advances in distributed sensing using Brillouin scattering
    Brown, AW
    DeMerchant, MD
    Bao, XY
    Bremner, TW
    SMART STRUCTURES AND MATERIALS 1998: SENSORY PHENOMENA AND MEASUREMENT INSTRUMENTATION FOR SMART STRUCTURES AND MATERIALS, 1998, 3330 : 294 - 300
  • [39] Fibre sensors for distributed temperature and strain measurements using Brillouin scattering and frequency-domain methods
    Gogolla, T
    Krebber, K
    CHEMICAL, BIOCHEMICAL, AND ENVIRONMENTAL FIBER SENSORS IX, 1997, 3105 : 168 - 179
  • [40] Enhanced Neural Network Implementation for Temperature Profile Extraction in Distributed Brillouin Scattering-Based Sensors
    Madaschi, Andrea
    Morosi, Jacopo
    Brunero, Marco
    Boffi, Pierpaolo
    IEEE SENSORS JOURNAL, 2022, 22 (07) : 6871 - 6878