• Laser & Optoelectronics Progress
  • Vol. 60, Issue 7, 0706009 (2023)
Chao Du1、*, Bin Zhang2, Shuang Zhao1, Qiuyu Wang1, Li Zhang1, Liqin Cui1, and Xiao Deng1、**
Author Affiliations
  • 1College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China
  • 2Military Representative Office of PLA Air Force Equipment Department in Taiyuan, Taiyuan 030006, Shanxi, China
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    DOI: 10.3788/LOP222732 Cite this Article Set citation alerts
    Chao Du, Bin Zhang, Shuang Zhao, Qiuyu Wang, Li Zhang, Liqin Cui, Xiao Deng. Ultrasensitive Methane Volume Fraction Sensor Based on Long Period Fiber Grating and Back-Propagation Neural Network[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0706009 Copy Citation Text show less
    Designed dual-layer sensing structure of LPFG
    Fig. 1. Designed dual-layer sensing structure of LPFG
    PMCs between LP06 and LP01 for different cladding diameters
    Fig. 2. PMCs between LP06 and LP01 for different cladding diameters
    Single-layer film structure. (a) PMCs between LP06 and LP01 under different methane volume fraction; (b) simulated transmission spectra of LPFG when methane volume fraction changes from 0% to 3.5%
    Fig. 3. Single-layer film structure. (a) PMCs between LP06 and LP01 under different methane volume fraction; (b) simulated transmission spectra of LPFG when methane volume fraction changes from 0% to 3.5%
    Film thickness optimization. (a) Relationship between effective RI of LP06 and coated film thickness; (b) relationship between effective RI variation rate of LP06 and film thickness
    Fig. 4. Film thickness optimization. (a) Relationship between effective RI of LP06 and coated film thickness; (b) relationship between effective RI variation rate of LP06 and film thickness
    Dual-layer thin film structures. (a) PMCs between LP06 and LP01 under different methane volume fraction; (b) simulated transmission spectra of LPFG when methane volume fraction changes from 0% to 3.5%
    Fig. 5. Dual-layer thin film structures. (a) PMCs between LP06 and LP01 under different methane volume fraction; (b) simulated transmission spectra of LPFG when methane volume fraction changes from 0% to 3.5%
    Methane volume fraction changes from 0% to 3.5%. (a) PMCs between LP06 and LP01; (b) resonance wavelength shifts with methane volume fraction variations
    Fig. 6. Methane volume fraction changes from 0% to 3.5%. (a) PMCs between LP06 and LP01; (b) resonance wavelength shifts with methane volume fraction variations
    Model of three-layer BP neural network
    Fig. 7. Model of three-layer BP neural network
    Test sample prediction results. (a) Comparison of predicted and tested values; (b) prediction error of the test sample
    Fig. 8. Test sample prediction results. (a) Comparison of predicted and tested values; (b) prediction error of the test sample
    ConfigurationMethane concentration range /%SensitivityReference
    Core diameter mismatch sensor0-14.50.014815
    PCF sensor0-3.50.514 nm /%8
    0-3.51.99 nm /%16
    0-3.04.60 nm /%17
    LPFG sensor0-3.50.375 nm /%9
    2.5 nm /%10
    249.6nm /%This work
    Table 1. Comparison of sensitivity for different methane sensor
    Chao Du, Bin Zhang, Shuang Zhao, Qiuyu Wang, Li Zhang, Liqin Cui, Xiao Deng. Ultrasensitive Methane Volume Fraction Sensor Based on Long Period Fiber Grating and Back-Propagation Neural Network[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0706009
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