Specklegram Demodulation of Fiber Bragg Grating Sensor Based on Convolutional Neural Network
We present a novel and low-cost method of demodulating fiber Bragg grating temperature sensor via reflecting speckle pattern captured by CCD. Assisted by deep convolutional neural network, the achieved error of temperature demodulation is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim$</tex>0.2°C.
Authors
- Zhengyong Liu (ORCID: https://orcid.org/0000-0002-0737-1782)
- Juanli Li (ORCID: https://orcid.org/0000-0002-1190-9119)
- Haoen Cai (ORCID: https://orcid.org/0009-0009-6388-808X)
- Chang Liu (ORCID: https://orcid.org/0000-0003-0650-1773)
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676861
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00