Omnidirectional vibration sensor based on fiber Bragg gratings in a seven-core fiber

Jingxian Cui, Zhengyong Liu, Dinusha Serandi Gunawardena, Hwa Yaw Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We report an orientation-sensitive omnidirectional vibration sensor based on fiber Bragg gratings (FBGs) inscribed in a seven-core optical fiber. By monitoring the central wavelength shifts of three FBGs in the central core and two outer cores, orientation information in 0-180° range as well as the acceleration value are obtained. The performance of the vibration sensor is characterized at different frequencies, orientations and accelerations. Comparison results for orientation discrimination using different groups of outer cores are investigated to enhance the reliability of the vibration sensor. The experimental results demonstrate an accuracy as high as 0.01° for orientation discrimination. The compact size and simple structure make the vibration sensor potentially superior in industrial applications where precise monitoring of the orientation is a necessity.

Original languageEnglish
Title of host publicationSeventh European Workshop on Optical Fibre Sensors
EditorsKyriacos Kalli, Gilberto Brambilla, Sinead O'Keeffe
PublisherSPIE
ISBN (Electronic)9781510631236
DOIs
Publication statusPublished - 2019
Event7th European Workshop on Optical Fibre Sensors, EWOFS 2019 - Limassol, Cyprus
Duration: 1 Oct 20194 Oct 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11199
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference7th European Workshop on Optical Fibre Sensors, EWOFS 2019
Country/TerritoryCyprus
CityLimassol
Period1/10/194/10/19

Keywords

  • Fiber Bragg grating
  • Multi-core fiber
  • Orientation discrimination
  • Vibration sensor

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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