Simultaneous vector bending and temperature sensing based on eccentric multi-mode fiber Bragg gratings

Sun, Xiaoyan; Chang, Zikun; Zeng, Li; Zhang, Limu; Hu, Youwang; Duan, Ji’an

doi:10.1016/j.sna.2021.112903

Cited by 13 publications

(1 citation statement)

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“…The Bragg wavelength of FBG plays a vital role in sensing purposes [20][21]. Accurate measurement of this parameter is of paramount importance in different applications.…”

Section: Bragg Wavelength (λ B )mentioning

confidence: 99%

Demonstration of a fast-training feed-forward machine learning algorithm for studying key optical properties of FBG and predicting precisely the output spectrum

et al. 2022

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In this article, we propose and demonstrate a generalized machine learning (ML) approach to analyse the various optical properties of the Fiber Bragg grating (FBGs), namely effective refractive index, bandwidth, re ectivity and wavelength. For this purpose, three commonly used variants of FBG, namely conventional, π phase-shifted and chirped ones are investigated and the re ected spectra of the aforementioned FBGs are predicted using ab initio arti cial neural networks (ANNs). We implemented a simple and fast-training feed-forward ANN and established the e cacy of our model by predicting the output spectrum with minute details for unknown device parameters along with non-linear and complex behaviour of the spectrum. Thus, our proposed ANN model is capable of predicting various key optical properties and reproducing the exact spectrum accurately and quickly, providing a cost-effective solution for e cient and precise modelling.

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“…The Bragg wavelength of FBG plays a vital role in sensing purposes [20][21]. Accurate measurement of this parameter is of paramount importance in different applications.…”

Section: Bragg Wavelength (λ B )mentioning

confidence: 99%