Infrared and Laser Engineering, Volume. 50, Issue 7, 20210223(2021)

Signal feature extraction method based on MEEMD-HHT for distributed optical fiber vibration sensing system

Miao Yu1... Yaolu Zhang2, Zechen Xu3 and Yutong He1 |Show fewer author(s)
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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    Figures & Tables(16)
    Experimental device diagram of distributed optical vibration sensing system
    Vibration simulation signal and the composition of the time-domain waveform
    EMD decomposition results of simulation signal
    CEEMD decomposition results of simulation signal
    MEEMD decomposition results of simulation signal
    Reconstruction error of three decomposition methods
    Phase-time change curves of vibration signals of different frequencies demodulated by the system
    Hilbert spectrum after three kinds of empirical mode decomposition and Hilbert transforn of vibration signal whose frequency is 100 Hz
    Hilbert spectrum after three kinds of empirical mode decomposition and Hilbert transforn of vibration signal whose frequency is 200 Hz
    Hilbert spectrum after three kinds of empirical mode decomposition and Hilbert transforn of vibration signal whose frequency is 50 Hz,200 Hz,350 Hz
    Hilbert spectrum after three kinds of empirical mode decomposition and Hilbert transforn of vibration signal whose frequency is 150 Hz,250 Hz,450 Hz
    Marginal spectra of three decomposition methods on different frequencies
    • Table 1. Permutation entropy of eight signals

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      Table 1. Permutation entropy of eight signals

      ${x_1}\left( t \right)$${x_2}\left( t \right)$${x_3}\left( t \right)$${x_4}\left( t \right)$${x_5}\left( t \right)$${x_6}\left( t \right)$${x_7}\left( t \right)$${x_8}\left( t \right)$
      ${H_p}$0.46100.17530.20020.14270.00600.22730.61630.9689
    • Table 2. Each method index

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      Table 2. Each method index

      MethodAdded noise’ amplitude: ${a_i}$Added noise’ number: ${N_e}$Computing time/sCompletenessIndex of orthogonalityIMF’s number
      EMDNoneNone0.18190.26640.41717
      CEEMD0.3506.58730.18970.20537
      MEEMD0.3501.27320.01520.00274
    • Table 3. Frequency extraction accuracy test

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      Table 3. Frequency extraction accuracy test

      Test frequency/Hz1050100150200300400500Average accuracyThe average time/s
      Sample number/Group5050505050505050
      EMD’s accuracy78%80%84%86%88%86%83%80%83.1%0.1635
      CEEMD’s accuracy90%86%94%94%92%96%91%90%91.6%3.2534
      MEEMD’s accuracy98%98%100%100%100%100%100%98%99.2%1.0387
    • Table 4. Three methods of experimental results

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      Table 4. Three methods of experimental results

      Feature extraction methodAverage accuracyAverage number of eigenvectorsAverage time/s
      EMD-HHT82.5%9.23.8634
      CEEMD-HHT91.1%7.17.1857
      MEEMD-HHT98.1%4.23.8259
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    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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    Paper Information

    Category: Optical communication and sensing

    Received: Apr. 3, 2021

    Accepted: --

    Published Online: Aug. 23, 2021

    The Author Email:

    DOI:10.3788/IRLA20210223

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