Acta Optica Sinica, Volume. 45, Issue 10, 1028003(2025)

Pipeline Leakage Event Recognition in Distributed Optical Fiber Sensing Using One‑Dimensional Convolutional Neural Network with Fusion Input of Features and Multi‑Parametric Signals

Muping Song**, Ning Jia*, and Enxue Cui
Author Affiliations
  • College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, Zhejiang , China
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    References(22)

    [3] Zhang X J, Zhang G X, Ruan H. Distributed fiber optic sensor for oil pipeline leakage detection based on OTDR[J]. Acta Photonica Sinica, 37, 2453-2457(2008).

    [4] Li H R, Li C R, Zhao D et al. Research progress on MZ-Sagnac interferometric distributed optical fiber vibration sensing technology[J]. Laser & Optoelectronics Progress, 61, 1300008(2024).

    [6] Yang G J, Qian Y H, Zhou Y Y et al. Review on digital signal processing techniques in distributed Brillouin fiber sensing systems[J]. Acta Optica Sinica, 44, 0106003(2024).

    [7] Wei R X, Liu G, Lu H L et al. Advances of optical time domain Brillouin distributed fiber dynamic strain sensing technology[J]. Laser & Optoelectronics Progress, 61, 1300009(2024).

    [10] Jin X B, Liu K, Jiang J F et al. Multi-dimensional distributed optical fiber vibration sensing pattern recognition based on convolutional neural network[J]. Acta Optica Sinica, 44, 0106023(2024).

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    Muping Song, Ning Jia, Enxue Cui. Pipeline Leakage Event Recognition in Distributed Optical Fiber Sensing Using One‑Dimensional Convolutional Neural Network with Fusion Input of Features and Multi‑Parametric Signals[J]. Acta Optica Sinica, 2025, 45(10): 1028003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 21, 2025

    Accepted: Mar. 31, 2025

    Published Online: May. 19, 2025

    The Author Email: Muping Song (songmp@zju.edu.cn), Ning Jia (22231121@zju.edu.cn)

    DOI:10.3788/AOS250523

    CSTR:32393.14.AOS250523

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