Laser & Optoelectronics Progress, Volume. 60, Issue 7, 0706009(2023)
Ultrasensitive Methane Volume Fraction Sensor Based on Long Period Fiber Grating and Back-Propagation Neural Network
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%
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
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%
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
Fig. 8. Test sample prediction results. (a) Comparison of predicted and tested values; (b) prediction error of the test sample
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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
Category: Fiber Optics and Optical Communications
Received: Oct. 10, 2022
Accepted: Nov. 30, 2022
Published Online: Mar. 31, 2023
The Author Email: Chao Du (duchao@tyut.edu.cn), Xiao Deng (dengxiao@tyut.edu.cn)