Carbon Dioxide Optical Sensing using Tapered and Coated LPGs and Neural Networks Articles uri icon

publication date

  • July 2024

start page

  • 1

end page

  • 11

issue

  • 3

volume

  • 23

International Standard Serial Number (ISSN)

  • 2179-1074

abstract

  • This work presents the development of a refractive index sensing methodology for measuring carbon dioxide concentrations, considering the effect of temperature environment. We propose and demonstrate, using simulations, the use of tapered and coated Long Period Gratings as a way to enhance the refractive index sensitivity. In addition, artificial neural networks were used to improve the estimation of carbon dioxide concentration, considering the crosssensitivity effect with temperature.

subjects

  • Electronics
  • Physics

keywords

  • artificial neural networks; carbon dioxide; lpg; optical fiber sensors