Generation of a Synthetic Database for Dual-Point Fiber Sensor Based on a Machine Learning Algorithm

Use of nonlinearity in wavelength-scanning of a diode-laser for generating a reliable synthetic database of a sensing signal is proposed. This database is implemented in a dual-point fiber sensor to train a machine learning algorithm. © 2024 The Author(s)

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676709
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Generation of a Synthetic Database for Dual-Point Fiber Sensor Based on a Machine Learning Algorithm

Rodolfo Martínez-Manuel, Luis M. Valentín-Coronado, Jonathan Esquivel-Hernández
Advanced Fiber Optic Sensors
article

Generation of a Synthetic Database for Dual-Point Fiber Sensor Based on a Machine Learning Algorithm

Rodolfo Martínez-Manuel, Luis M. Valentín-Coronado, Jonathan Esquivel-Hernández
article en

Abstract

Use of nonlinearity in wavelength-scanning of a diode-laser for generating a reliable synthetic database of a sensing signal is proposed. This database is implemented in a dual-point fiber sensor to train a machine learning algorithm. © 2024 The Author(s)

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Advanced Fiber Optic Sensors
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Generation of a Synthetic Database for Dual-Point Fiber Sensor Based on a Machine Learning Algorithm — Rodolfo Martínez-Manuel, Luis M. Valentín-Coronado, et al. · (2024) | TGRS Research Map | TGRS