曲率
光学
光纤布拉格光栅
人工神经网络
栅栏
光纤
传输(电信)
光纤传感器
弯曲
材料科学
长周期光纤光栅
计算机科学
渐变折射率纤维
声学
物理
电信
人工智能
数学
几何学
复合材料
作者
Clément Deleau,Han Cheng Seat,Olivier D. Bernal,Frédéric Surre
出处
期刊:Optics Letters
[The Optical Society]
日期:2023-09-18
卷期号:48 (19): 4941-4941
摘要
In this numerical study, we propose a fiber distributed curvature sensor based on the analysis of the spectral transmission of a long period fiber grating (LPG) with a neural network. A simulation of the optical transmissions of a proposed 6-cm LPG structure for different curvature profiles is first performed using EigenMode Expansion and a coupled-mode theory algorithm. Both fiber curvature profiles and their corresponding optical transmission spectra are then injected into a four dense layer neural network which, after training, leads to a 0.40% relative median estimation error in the bending profiles. This paper demonstrates the efficiency of neural network-based optical sensors to analyze non-uniform perturbations, while also revealing long-period gratings to be promising candidates for such systems.
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