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Article Dans Une Revue Optics Letters Année : 2023

Distributed curvature sensing using long period fiber grating and machine learning numerical analysis

Résumé

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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Dates et versions

hal-04239321 , version 1 (12-10-2023)

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Clement Deleau, Han Cheng Seat, Olivier Bernal, Frederic Surre. Distributed curvature sensing using long period fiber grating and machine learning numerical analysis. Optics Letters, 2023, 48 (19), pp.4941-4944. ⟨10.1364/OL.499042⟩. ⟨hal-04239321⟩
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