• Laser & Optoelectronics Progress
  • Vol. 58, Issue 7, 0706006 (2021)
Hongquan Qu, Bingbing Wei, Zheng Zhang, and Zhiyong Sheng*
Author Affiliations
  • School of Information Science and Technology, North China University of Technology, Beijing 100144, China
  • show less
    DOI: 10.3788/LOP202158.0706006 Cite this Article Set citation alerts
    Hongquan Qu, Bingbing Wei, Zheng Zhang, Zhiyong Sheng. Feature Extraction Method Based on FDM Energy Entropy and its Application on Optical Fiber Vibration Recognition[J]. Laser & Optoelectronics Progress, 2021, 58(7): 0706006 Copy Citation Text show less
    References

    [1] Rao Y J. Recent progress in ultra-long distributed fiber-optic sensing[J]. Acta Physica Sinica, 66, 074207(2017).

    [2] Fu Q J, Yu M, Chang T Y et al. Summarization of pattern recognition method for phase sensitive optical time domain reflecting system[J]. Infrared and Laser Engineering, 47, 0722001(2018).

    [3] Zhu R. Research on intrusion signal recognition method of optical fiber perimeter system[D](2019).

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

    [5] Song M P, Zhuang S W, Wang Y X. High-frequency vibration detection of phase-sensitive optical time-domain reflectometer[J]. Chinese Journal of Lasers, 47, 0506001(2020).

    [6] Sun C B. Research on optical fiber vibration signal recognition algorithm based on stochastic neural network[D](2019).

    [7] Zhang S H, He J P, Yu Q F et al. Multi-scale load identification system based on distributed optical fiber and local FBG-based vibration sensors[J]. Optik, 219, 165159(2020).

    [8] Tian Q, Yuan S J, Qu H Q. Intrusion signal classification using stochastic configuration network with variable increments of hidden nodes[J]. Optical Engineering, 58, 026105(2019).

    [9] Wang C, Liu Q W, Chen D et al. Monitoring pipeline leakage using fiber-optic distributed acoustic sensor[J]. Acta Optica Sinica, 39, 1006005(2019).

    [10] Yang Z. Study on distributed optical fiber security detection system signal recognition[D], 1-61(2015).

    [11] Zhao L, Liu H, Xu S C et al. Comparison study of optical fiber vibration signals using HHT and CWT[J]. Laser Technology, 41, 260-264(2017).

    [12] Qin F B, Xu Z W, Chuo X Y et al. Seismic noise suppression based on empirical wavelet transformation[J]. China Petroleum Exploration, 23, 100-110(2018).

    [13] Peng K, Feng C, Wang S M et al. Event discrimination method for distributed optical fiber intrusion sensing system based on integrated time/frequency domain feature extraction[J]. Acta Optica Sinica, 39, 0628002(2019).

    [14] Wang Y P, Gong D J, Pang L P et al. RVFL-based optical fiber intrusion signal recognition with multi-level wavelet decomposition as feature[J]. Photonic Sensors, 8, 234-241(2018).

    [15] Wu Q, Liu Y. De-noising method for gyroscope signal based on improved ensemble empirical mode decomposition[J]. Laser & Optoelectronics Progress, 57, 150601(2020).

    [16] Chen Y, Chen Y W, Liu Z Q et al. A gear fault detection method based on a fiber Bragg grating sensor[J]. Chinese Journal of Lasers, 47, 0304007(2020).

    [17] Qu H Q, Gong D J, Zhang C N et al. Feature extraction and recognition algorithm for fiber intrusion signals[J]. Laser & Optoelectronics Progress, 56, 130601(2019).

    [18] Zheng J D, Pan H Y, Cheng J S et al. Adaptive empirical Fourier decomposition based mechanical fault diagnosis method[J]. Journal of Mechanical Engineering, 56, 125-136(2020).

    [19] Wang L. Research on pattern recognition method for fiber vibration sensing system based on Michelson interferometer[D](2016).

    [20] Singh P, Joshi S D, Patney R K et al. The Fourier decomposition method for nonlinear and non-stationary time series analysis[J]. Proceedings Mathematical Physical & Engineering Sciences, 473, 20160871(2017).

    [21] Jain P, Pachori R B. An iterative approach for decomposition of multi-component non-stationary signals based on eigenvalue decomposition of the Hankel matrix[J]. Journal of the Franklin Institute, 352, 4017-4044(2015).

    [22] Li J, Zhang X Y, Huang L X et al. A new pitch annotation search algorithm based on Hilbert-Huang transformation for speech synthesis[J]. Modern Electronics Technique, 41, 153-160(2018).

    Hongquan Qu, Bingbing Wei, Zheng Zhang, Zhiyong Sheng. Feature Extraction Method Based on FDM Energy Entropy and its Application on Optical Fiber Vibration Recognition[J]. Laser & Optoelectronics Progress, 2021, 58(7): 0706006
    Download Citation