Chinese Journal of Lasers, Volume. 48, Issue 16, 1610004(2021)

Damage Identification of I-Beam Based on Fiber Bragg Grating Vibration Sensor and Extreme Learning Machine

Yijia Li, Zhengfang Wang, Jing Wang*, and Qingmei Sui
Author Affiliations
  • School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China
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    Figures & Tables(18)
    New FBG vibration sensor. (a) I-typed section; (b) structure diagram; (c) physical drawing
    Modal simulation of the sensor. (a) Displacement nephogram of the first order modal; (b) strain nephogram of the first order modal
    Strain distribution. (a) Strain distribution of black curve position with length of 20.0 mm; (b) strain distribution at the grating paste position
    Sensor performance simulation. (a) Frequency response at acceleration of 2.0g; (b) accelerated response at vibration frequency of 300 Hz
    Testing system of the sensor
    Time-frequency response curves of the senor. (a) Time domain at 90 Hz; (b) frequency domain at 90 Hz; (c) time domain at 350 Hz; (d) frequency domain at 350 Hz
    Amplitude frequency response curve of sensor
    Spectra of short grating at different frequencies. (a) 90 Hz; (b) 350 Hz
    Acceleration response repeatability curve
    Anti-interference characteristic curve
    Structural damage simulation of I-beam
    Schematic of I-beam working condition
    Time-frequency domain response characteristic of the senor. (a)Time domain response of health status; (b) frequency domain response of health status; (c) time domain response of one crack; (d) frequency domain response of one crack ; (e) time domain response of two cracks; (f) frequency domain response of two cracks
    Energy ratio of three operating frequency bands. (a) Health status; (b) one crack; (c) two cracks
    Wavelet packet energy ratio characteristic
    Identification and comparison results between ELM and BP
    • Table 1. Damage mode and corresponding output form

      View table

      Table 1. Damage mode and corresponding output form

      Damage modeOutput form
      Health status1
      One crack2
      Two cracks3
    • Table 2. Verification result of two damage identification models

      View table

      Table 2. Verification result of two damage identification models

      Recognition modelNumber of tests /groupsNumber of errors /groupsAccuracy /%
      ELM90396.7
      BP90693.3
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    Yijia Li, Zhengfang Wang, Jing Wang, Qingmei Sui. Damage Identification of I-Beam Based on Fiber Bragg Grating Vibration Sensor and Extreme Learning Machine[J]. Chinese Journal of Lasers, 2021, 48(16): 1610004

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    Paper Information

    Category: remote sensing and sensor

    Received: Dec. 24, 2020

    Accepted: Mar. 1, 2021

    Published Online: Jul. 30, 2021

    The Author Email: Jing Wang (wangjingkz@sdu.edu.cn)

    DOI:10.3788/CJL202148.1610004

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