• Infrared and Laser Engineering
  • Vol. 50, Issue 7, 20210223 (2021)
Miao Yu1, Yaolu Zhang2, Zechen Xu3, and Yutong He1
Author Affiliations
  • 1School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China
  • 2College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130012, China
  • 3College of Physics & Information Engineering, Fuzhou University, Fuzhou 350108, China
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    DOI: 10.3788/IRLA20210223 Cite this Article
    Miao Yu, Yaolu Zhang, Zechen Xu, Yutong He. Signal feature extraction method based on MEEMD-HHT for distributed optical fiber vibration sensing system[J]. Infrared and Laser Engineering, 2021, 50(7): 20210223 Copy Citation Text show less
    References

    [1] Qin Ye, Zhengqin Pan, Zhaoyong Wang, et al. Research progress and application of phase sensitive light time domain reflectometry. Chinese Journal of Lasers, 44, 0600001(2017).

    [2] Xiangdong Huang, Haojie Zhang, Kun Liu, et al. High-efficiency intrusion event recognition based on comprehensive characteristics of fiber perimeter security system. Acta Physica Sinica, 66, 207-216(2017).

    [3] Hongquan Qu, Tong Zheng, Liping Pang, et al. A new detection and recognition method for optical fiber pre-warning system. Optik-International Journal for Light and Electron Optics, 137, 209-219(2017).

    [4] Moli Zhang, Yanxia Li. All-fiber perimeter security system based on pattern recognition. Laser Journal, 38, 65-68(2017).

    [5] Dongbo Zou, Hai Liu, Liang Zhao, et al. Research on distributed optical fiber vibration sensing signal recognition. Laser Technology, 40, 86-89(2016).

    [6] Wang Liang. Research on pattern recognition method of Michelson interferometric fiber vibration sensing system[D]. Changchun: Jilin University, 2016. (in Chinese)

    [7] Chenghui Zhu, Yi Zhao, Jianping Wang, et al. Ensemble Recognition of fiber intrusion behavior based on blending features. Opto-Electronic Engineering, 43, 6-12(2016).

    [8] Lihui Jiang, Jiesheng Liu, Xinglong Xiong, et al. Research on the feature extraction and recognition method of peripheral fiber intrusion signals. Laser & Infrared, 47, 906-913(2017).

    [9] Yong Chen, Wangyue An, Huanlin Liu, et al. Application of improved empirical mode decomposition algorithm in fiber bragg grating perimeter intrusion behaviors classification. Chinese Journal of Lasers, 46, 0304003(2019).

    [10] Hongquan Qu, Dianjun Gong, Changnian Zhang, et al. Feature extraction and recognition algorithm for fiber intrusion signals. Laser & Optoelectronics Progress, 56, 130601(2019).

    [11] Zhandong Wang, Shuqin Lou, Sheng Liang, et al. Multi-class disturbance events recognition based on EMD and XGBoost in phi-OTDR. IEEE Access, 8, 63551-63558(2020).

    [12] B M T Fouda, D Z Han, B W An, et al. Research and software design of an Φ-OTDR-based optical fiber vibration recognition algorithm. Journal of Electrical and Computer Engineering, 1-13(2020).

    [13] J R Yeh, J S Shieh, N E Huang. Complementary Ensemble Empirical Mode Decomposition: A novel noise enhanced data analysis method. Advances in Adaptive Data Analysis, 2, 135-156(2010).

    [14] Jinde Zheng, Junsheng Cheng, Yu Yang. Improved EEMD algorithm and its application. Journal of Vibration and Shock, 32, 21-26, 46(2013).

    [15] Yu Miao. Research application of phasesensitive optical timedomain reflectometric system based on singlesource dual heterodyne detection scheme[D]. Changchun: Jilin University, 2017. (in Chinese)

    [16] Pan Zhengqing, Liang Kezhen, Ye Qing, et al. Phasesensitive OTDR system based on digital coherent detection[C]Proceedings of SPIE The International Society f Optical Engineering, 2011, 8311(1): 16.

    [17] Miao Yu, Mingyang Sun, Yaolu Zhang, et al. Phase ambiguity and unwrapping of phase-sensitive optical time-domain reflectometer. Infrared and Laser Engineering, 50, 20200437(2021).

    [18] Ruqiang Yan, Yongbin Liu, R X Gao. Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines. Mechanical Systems and Signal Processing, 29, 474-484(2012).

    [19] N E Huang, Z Shen, S R Long, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences, 454, 903-995(1998).

    [20] Xin Xie, Huijuan Wu, Yunjiang Rao, et al. A fiber-optical perimeter intrusion detection system based on the fiber bragg grating vibration sensors and its identification method. Acta Photonica Sinica, 43, 0506005(2014).

    Miao Yu, Yaolu Zhang, Zechen Xu, Yutong He. Signal feature extraction method based on MEEMD-HHT for distributed optical fiber vibration sensing system[J]. Infrared and Laser Engineering, 2021, 50(7): 20210223
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