• Opto-Electronic Advances
  • Vol. 4, Issue 5, 200037-1 (2021)
Tao Liu, Hao Li, Tao He, Cunzheng Fan, Zhijun Yan, Deming Liu, and Qizhen Sun*
Author Affiliations
  • School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
  • show less
    DOI: 10.29026/oea.2021.200037 Cite this Article
    Tao Liu, Hao Li, Tao He, Cunzheng Fan, Zhijun Yan, Deming Liu, Qizhen Sun. Ultra-high resolution strain sensor network assisted with an LS-SVM based hysteresis model[J]. Opto-Electronic Advances, 2021, 4(5): 200037-1 Copy Citation Text show less
    Schematic diagram of the proposed high-resolution strain sensor network.
    Fig. 1. Schematic diagram of the proposed high-resolution strain sensor network.
    (a) Phase change induced by laser frequency shift. (b) Relationship between the reference channel and sensing channel for laser frequency shift.
    Fig. 2. (a) Phase change induced by laser frequency shift. (b) Relationship between the reference channel and sensing channel for laser frequency shift.
    (a) Phase change induced by temperature fluctuation. (b, c) Enlarged images for phase change. (d) Relationship between the reference channel and sensing channel for temperature fluctuation.
    Fig. 3. (a) Phase change induced by temperature fluctuation. (b, c) Enlarged images for phase change. (d) Relationship between the reference channel and sensing channel for temperature fluctuation.
    Hysteresis operator. (a) Relay operator. (b) Play operator.
    Fig. 4. Hysteresis operator. (a) Relay operator. (b) Play operator.
    Block diagram of the LS-SVM based hysteresis model.
    Fig. 5. Block diagram of the LS-SVM based hysteresis model.
    (a) Received beat frequency signal. (b) Beat frequency signal of sensor element 55 and 54.
    Fig. 6. (a) Received beat frequency signal. (b) Beat frequency signal of sensor element 55 and 54.
    The relationship between phase change and strain.
    Fig. 7. The relationship between phase change and strain.
    (a) Temperature change waveform and corresponding phase change for model train. (b) Hysteresis loops for temperature change and the regression result. (c) Compensation error.
    Fig. 8. (a) Temperature change waveform and corresponding phase change for model train. (b) Hysteresis loops for temperature change and the regression result. (c) Compensation error.
    (a) Original phase signal for temperature change and strain signal. (b) Compensation results for two methods. (c) PSD of the original result and compensation results.
    Fig. 9. (a) Original phase signal for temperature change and strain signal. (b) Compensation results for two methods. (c) PSD of the original result and compensation results.
    (a) Original phase signal in a quiet environment. (b) Compensation results for two methods. (c) Noise floor PSD of the original result and compensation results.
    Fig. 10. (a) Original phase signal in a quiet environment. (b) Compensation results for two methods. (c) Noise floor PSD of the original result and compensation results.
    Tao Liu, Hao Li, Tao He, Cunzheng Fan, Zhijun Yan, Deming Liu, Qizhen Sun. Ultra-high resolution strain sensor network assisted with an LS-SVM based hysteresis model[J]. Opto-Electronic Advances, 2021, 4(5): 200037-1
    Download Citation