Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 42,
  • Issue 7,
  • pp. 2532-2537
  • (2024)

Temperature-Compensated Fiber Bragg Grating Strain Sensor Based on a Two-Tap Microwave Photonic Filter

Not Accessible

Your library or personal account may give you access

Abstract

A temperature-compensated microwave photonic filter (MPF) based fiber Bragg grating (FBG) strain interrogation system is proposed and experimentally validated. This technique uses two FBGs: one acts as the reference FBG1 to measure temperature and the other is employed as the sensing FBG2 to detect temperature and strain. The reflected signals of two FBGs propagate in two different paths to form a two-tap MPF. Functioning as an edge filter, the amplified spontaneous emission (ASE) offers a wavelength-depended loss for FBG1, leading to the peak-to-bottom (PBR) of the S21 curve varying with the applied temperature. With the help of a roll of dispersion compensate fiber (DCF), the wavelength shift of FBG2 is converted to the frequency change of the S21 curve. Therefore, the temperature applied on FBG1 can be recovered by recording the PBR change, and the temperature and strain applied on FBG2 can be interrogated by tracking the frequency change. As a result, the temperature applied on FBG2 can be eliminated by solving the cross-sensitivity equation. The experimental results show that the sensitivities vs. strain and temperature on FBG2 are 9.288 KHz/με, 88.258 KHz/°C, and the sensitivity vs. temperature on FBG1 is 0.0016 dB/°C. The maximum measurement errors for temperature and strain are 3.8% and 5.01%, respectively.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.