• Chinese Journal of Lasers
  • Vol. 48, Issue 16, 1610004 (2021)
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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    DOI: 10.3788/CJL202148.1610004 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    New FBG vibration sensor. (a) I-typed section; (b) structure diagram; (c) physical drawing
    Fig. 1. 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
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. 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
    Fig. 7. Amplitude frequency response curve of sensor
    Spectra of short grating at different frequencies. (a) 90 Hz; (b) 350 Hz
    Fig. 8. Spectra of short grating at different frequencies. (a) 90 Hz; (b) 350 Hz
    Acceleration response repeatability curve
    Fig. 9. Acceleration response repeatability curve
    Anti-interference characteristic curve
    Fig. 10. Anti-interference characteristic curve
    Structural damage simulation of I-beam
    Fig. 11. Structural damage simulation of I-beam
    Schematic of I-beam working condition
    Fig. 12. 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
    Fig. 13. 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
    Fig. 14. Energy ratio of three operating frequency bands. (a) Health status; (b) one crack; (c) two cracks
    Wavelet packet energy ratio characteristic
    Fig. 15. Wavelet packet energy ratio characteristic
    Identification and comparison results between ELM and BP
    Fig. 16. Identification and comparison results between ELM and BP
    Damage modeOutput form
    Health status1
    One crack2
    Two cracks3
    Table 1. Damage mode and corresponding output form
    Recognition modelNumber of tests /groupsNumber of errors /groupsAccuracy /%
    ELM90396.7
    BP90693.3
    Table 2. Verification result of two damage identification models
    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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