Opto-Electronic Engineering, Volume. 50, Issue 2, 220205(2023)

Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system

Bozhi Zhang1...2,3, Ke Liu4, Kun Liu1,2,3, Junfeng Jiang1,2,3, Man Zhang4, and Tiegen Liu1,23,* |Show fewer author(s)
Author Affiliations
  • 1School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300000, China
  • 2Key Laboratory of Opto-electronics Information Technology, Ministry of Education, Tianjin 300000, China
  • 3Tianjin Fiber Optic Sensing Engineering Center, Tianjin 300000, China
  • 4Tianjin Qiu Shi Fiber Technologies Co., Ltd., Tianjin 300000, China
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    Figures & Tables(10)
    Algorithm flow chart
    Structural diagram
    Signal characteristics of two quiet positions and their corresponding positions in the spectrum (abscissa is position/m, ordinate is frequency/Hz)
    The data of 1000 frames at the disturbance location and the corresponding position of its spectrum (abscissa is position/m, ordinate is frequency/Hz)
    Gaussian blur. (a) Before blurring; (b) Average blurring with a width of 20; (c) Gaussian fuzzy. The standard deviation sigma of Gaussian fuzzy is equal to 3, and the width is 21 points
    Test site
    Raw data
    Variance treatment
    Disturbance prescription difference curve
    Peak seeking algorithm
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    Bozhi Zhang, Ke Liu, Kun Liu, Junfeng Jiang, Man Zhang, Tiegen Liu. Research on dynamic variance threshold algorithm based on distributed fiber vibration sensor system[J]. Opto-Electronic Engineering, 2023, 50(2): 220205

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    Paper Information

    Category: Article

    Received: Aug. 23, 2022

    Accepted: Nov. 28, 2022

    Published Online: Apr. 13, 2023

    The Author Email: Liu Tiegen (tgliu@tju.edu.cn)

    DOI:10.12086/oee.2023.220205

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