Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFS > 2020 > W4 > W4.1

Machine Learning Assisted FBG-based Current Sensor for Transmission Lines

Sanjib Sarkar, Mehdi Tarhani, Mandrita Banerjee, Morad Khosravi Eghbal, and Mehdi Shadaram

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate the ability of machine learning methods to predict simultaneously the current and the temperature of the magnetostrictive-fiber Bragg grating (FBG) based current sensor, which will reduce its cost and complexity.

© 2020 The Author(s)

PDF Article
More Like This
Resolving Predicament Related to the Hysteresis and Temperature Effect in FBG-Based Current Sensors by Utilizing Machine Learning

Sanjib Sarkar, Mandrita Banerjee, Mehdi Tarhani, Morad Khosravi Eghbal, and Mehdi Shadaram
STu4D.4 Optical Sensors (Sensors) 2020

Simultaneous strain-temperature analysis by machine learning assisted FBG sensor

Koustav Dey, Nikhil Vangety, and Sourabh Roy
ATh2K.5 CLEO: Applications and Technology (CLEO:A&T) 2022

An Open-Loop FBG-Based Magnetostrictive Current Sensor with Enhanced Sensitivity

Alex Dante, Juan David Lopez, Ariadny da Silva Areas, Cesar Cosenza Carvalho, Regina Celia da Silva Barros Allil, and Marcelo Martins Werneck
STu4D.6 Optical Sensors (Sensors) 2020

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