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Proceedings Paper

A light intensity monitoring method based on fiber Bragg grating sensing technology and BP neural network
Author(s): Lu-Ming Li; Qian Zhu; Zhi-Guo Zhang; Zhi-Min Cai; Zhi-Jun Liao; Zhen-Yan Hu
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Paper 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.

Paper Details

Date Published: 23 April 2017
PDF: 4 pages
Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103235B (23 April 2017); doi: 10.1117/12.2267491
Show Author Affiliations
Lu-Ming Li, Jiangxi Electric Power Corp. (China)
Qian Zhu, Beijing Univ. of Posts and Telecommunications (China)
Zhi-Guo Zhang, Beijing Univ. of Posts and Telecommunications (China)
Zhi-Min Cai, Jiangxi Electric Power Corp. (China)
Zhi-Jun Liao, Jiangxi Electric Power Corp. (China)
Zhen-Yan Hu, Jiangxi Railway Investment Group Co., Ltd. (China)


Published in SPIE Proceedings Vol. 10323:
25th International Conference on Optical Fiber Sensors
Youngjoo Chung; Wei Jin; Byoungho Lee; John Canning; Kentaro Nakamura; Libo Yuan, Editor(s)

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