Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFS > 2022 > Th4 > Th4.49

Performance Analysis of Gaussian Process Regression in the Temperature Estimation of Fiber Bragg Grating Sensors

Sebastián San Martín and Marcelo A. Soto

Not Accessible

Your library or personal account may give you access

Abstract

The performance of Gaussian process regression for temperature estimation using fiber Bragg grating sensors is investigated. Using experiment- and simulation-based training, the estimated temperature uncertainty (standard deviation) and offset are analyzed versus different measurement parameters.

© 2022 The Author(s)

PDF Article
More Like This
Machine Learning Model using a Fiber Bragg Grating-based Sensor System to measure Battery State-of-Charge

Sankhyabrata Bandyopadhyay, Matthias Fabian, James Bremner, Xuan Liu, Xiang Li, Kang Li, Tong Sun, and Kenneth T V Grattan
W4.17 Optical Fiber Sensors (OFS) 2022

Fiber Bragg Grating Optical Sensors for Road Infrastructure Monitoring Applications

J. Braunfelds, U. Senkans, P. Skels, I. Murans, J. Porins, S. Spolitis, and V. Bobrovs
W1A.2 Applied Industrial Optics: Spectroscopy, Imaging and Metrology (AIO) 2022

Determining the Temperature Performance of Encoded Fiber Bragg Grating Sensors

Germán Álvarez-Botero, Andrés Triana, Daniel Pastor, and Margarita Varón
LW2C.4 Latin America Optics and Photonics Conference (LAOP) 2016

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use