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Updated: Oct 17, 2025

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Fiber Optic Sensors Based on the Faraday Effect.

Pedja Mihailovic¹, Slobodan Petricevic¹

¹School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia.

Sensors (Basel, Switzerland)

|October 13, 2021

Summary

This summary is machine-generated.

Fiber optic sensors utilizing the Faraday effect offer advanced magnetic field sensing for high-voltage current measurement. Ongoing research aims to overcome technical challenges for commercial smart grid applications.

Keywords:

Faraday effect fiber optic current sensor magnetometry temperature compensation

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Published on: September 30, 2019

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Published on: November 7, 2016

Area of Science:

Physics
Materials Science
Electrical Engineering

Background:

The Faraday effect, discovered 175 years ago, describes magnetic circular birefringence.
Fiber optic sensors (FOS) leverage the Faraday effect for magnetic field sensing, crucial for high-voltage current measurement.

Purpose of the Study:

To review the obstacles and technological limits in developing Faraday effect-based fiber optic sensors.
To explore solutions and advancements for high-performance magnetometry in smart grids.

Main Methods:

Review of historical developments and recent advancements in Faraday effect magnetometry.
Analysis of signal processing and temperature dependence challenges in FOS.
Investigation of artificial structures for enhanced Faraday rotation.

Main Results:

Optical telecommunication advancements have eased FOS design and manufacturing.
Progress has been made in resolving signal processing and temperature dependence issues.
Artificial structures show potential for significantly improving Faraday rotation.

Conclusions:

Faraday effect FOS are promising for smart grid applications, particularly for high-voltage current sensing.
While significant challenges remain for commercialization, ongoing research and technological integration are key.
Future developments in artificial structures will further enhance sensor performance.