Infrared and Laser Engineering, Volume. 51, Issue 9, 20210971(2022)

Optical fiber sensing recognition algorithm based on deep neural network

Dongliang Li and Bei Lu
Author Affiliations
  • College of Information Engineering, Jiaozuo University, Jiaozuo 454000, China
  • show less
    References(16)

    [1] R Cramer, D Shaw, R Tulalian, et al. Detecting and correcting pipeline leaks before they become a big production. Marine Technology Society Journal, 49, 31-46(2015).

    [2] B Lu, Z Y Wang, H R Zheng, et al. The achievement of high special resolution and long haul distributed fiber vibration sensing system. Chinese Journal of Lasers, 44, 1015001(2017).

    [3] L Ren, T Jiang, Z G Jia, et al. Pipeline corrosion and leakage monitoring base optical fiber sensing technology. Measurment, 122, 57-65(2018).

    [4] Q Chi, Y Luo, J Ren, et al. Review on fiber- optic Sensing in health monitoring of power grids. Optical Engineeing, 58, 072007(2019).

    [5] J Tejedor, J Macias-Guarasa, H Martins, et al. A novel fiber optic based surveillance system for prevention of pipeline integrity theses. Sensors, 17, 355-361(2017).

    [6] H J Wu, Y Qain, W Zhang, et al. Feature extraction and identification in distributed optical-fiber vibraton sensing system for oil pipeline safety monitoring. Photonic Sensors, 7, 305-310(2017).

    [7] O Sidelnikov, A Redyuk, S Sygletos. Qualization performance and complexity analysis of dynamic deep neural networks in long hal transmission systems. Optics Express, 26, 32765-32776(2018).

    [8] J Tejedor, J Macias-Guarasa, H F Martins, et al. Real field deployment of a smart fiber- optic surveillance system for pipeline integrity threat detection: Architectural issues and blind field test results. Journal of Lightwave Technology, 36, 1052-1062(2018).

    [9] S J Liu, J Q Zhang, J F Wan, et al. The research of recognition algorithm of vibration source based on the optical fiber vibration safety warning system. Optical Technique, 42, 89-96(2016).

    [10] [10] Tian M. Research implement of algithms f the fiber perimeter security system based on dull MachZehnder [D]. Tianjin: Tianjin University, 2017. (in Chinese)

    [11] C J Xu, J J Guan, M Bao, et al. Pattern recognition based on enhanced multifeature parameters for vibration events in φ-OTDR distributed optical fiber sensing system. Microwave and Optical Technology Letters, 59, 3134-3141(2017).

    [12] H W Cai, Q Ye, Z Y Wang, et al. Distributed optical fiber acoustic sensing technology base coherent Rayleigh scattering. Laser & Optoelectronics Progress, 57, 050001(2020).

    [13] X P Zhang, Z W Ding, R Hong, et al. Phase sense optical time-domain reflexive distributed optical fiber sensing technology. Acta Optica Sinica, 41, 0106004(2021).

    [14] Z W Wang, B P Gao. Spatio-temporal fusion convolutional neural network for abnormal behavior recognition. Computer Engineering and Design, 41, 2052-2056(2020).

    [15] Z G Qiu, Y B Wan, W H Zhou, et al. Ionic skin with biomimetic dielectric layer templated from calatheazebrine leaf. Advanced Functional Materials, 28, 1802343(2018).

    [16] P Zhu, Y Wang, Y Wang, et al. Flexible 3 D rchitectured piezo/thermoelectric bimodal tactile sensor array for E-skin application. Advanced Energy Materials, 10, 2001945(2020).

    CLP Journals

    [1] Yijing Xu, Zhipeng Wu, Qilong Wang. Compressed spectral measurement technology based on coding of spectrum domain[J]. Infrared and Laser Engineering, 2022, 51(11): 20220093

    Tools

    Get Citation

    Copy Citation Text

    Dongliang Li, Bei Lu. Optical fiber sensing recognition algorithm based on deep neural network[J]. Infrared and Laser Engineering, 2022, 51(9): 20210971

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image processing

    Received: Dec. 16, 2021

    Accepted: Jan. 13, 2022

    Published Online: Jan. 6, 2023

    The Author Email:

    DOI:10.3788/IRLA20210971

    Topics