Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Spectral Demodulation of Tilted Fiber Bragg Grating Based Sensor for Temperature, Salinity and Pressure Measurement Using Convolutional Neural Network

Not Accessible

Your library or personal account may give you access

Abstract

This paper proposes a temperature-salinity-pressure sensor based on titled fiber Bragg grating, using convolutional neural network for spectral demodulation instead of conventional wavelength detection. Prediction results exhibit an error of ~0.0547℃, ~0.6506‰, ~0.006MPa, respectively.

© 2023 The Author(s)

PDF Article
More Like This
Improvement of Multiplexing Capability of Fiber Bragg Gratings Using Convolutional Neural Network

Tatsuya Yamaguchi, Hiroto Kawashima, Hiroki Matsuda, and Yukitaka Shinoda
W4.80 Optical Fiber Sensors (OFS) 2023

Temperature-independent demodulation technique for fiber Bragg grating strain sensors using a tilted fiber Bragg grating

Sung Chul Kang, Se Yoon Kim, Sang Bae Lee, Seo Won Kwon, SangSam Choi, and Byoungho Lee
CThB6 Conference on Lasers and Electro-Optics (CLEO:S&I) 1998

Junction Temperature Measurement in High Power Electronic Applications Using Fiber Bragg Grating-based Sensors

Ridwanullahi Isa, Mohammad Abido, and Khurram Karim Qureshi
W4.34 Optical Fiber Sensors (OFS) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.