A light intensity monitoring method based on fiber Bragg grating sensing technology and BP neural network

Lu-Ming Li; Qian Zhu; Zhi-Guo Zhang; Zhi-Min Cai; Zhi-Jun Liao; Zhen-Yan Hu

doi:10.1117/12.2267491

23 April 2017 A light intensity monitoring method based on fiber Bragg grating sensing technology and BP neural network

Lu-Ming Li, Qian Zhu, Zhi-Guo Zhang, Zhi-Min Cai, Zhi-Jun Liao, Zhen-Yan Hu

Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103235B (2017) https://doi.org/10.1117/12.2267491
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of

Abstract

In this paper, a light intensity monitoring method based on FBG is proposed. The method establishes a light intensity monitoring model with cantilever beam structure and BP neural network algorithm, which is based on fiber grating sensing technology. The accuracy of the model can meet the requirements of engineering project and it can monitor light intensity in real time. The experimental results show that the method has good stability and high sensitivity.

Citation Download Citation

Lu-Ming Li, Qian Zhu, Zhi-Guo Zhang, Zhi-Min Cai, Zhi-Jun Liao, and Zhen-Yan Hu "A light intensity monitoring method based on fiber Bragg grating sensing technology and BP neural network", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103235B (23 April 2017); https://doi.org/10.1117/12.2267491

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