Temperature profile extraction using artificial neural network in BOTDA sensor system

Abul Kalam Azad, Liang Wang, N. Guo, Chao Lu, Hwa Yaw Tam

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

7 Citations (Scopus)

Abstract

We propose and demonstrate Artificial Neural Network (ANN) based temperature profile extraction from local Brillouin gain spectrum in BOTDA fiber sensor system. Results show that ANN can adopt large frequency scanning step and hence reduce BOTDA measurement time significantly.
Original languageEnglish
Title of host publication2015 Opto-Electronics and Communications Conference, OECC 2015
PublisherIEEE
ISBN (Electronic)9781467379441
DOIs
Publication statusPublished - 30 Nov 2015
EventOpto-Electronics and Communications Conference, OECC 2015 - Shanghai, China
Duration: 28 Jun 20152 Jul 2015

Conference

ConferenceOpto-Electronics and Communications Conference, OECC 2015
CountryChina
CityShanghai
Period28/06/152/07/15

Keywords

  • Artificial neural network
  • BOTDA
  • Brillouin scattering
  • Lorentzian curve fitting

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this