Temperature profile extraction using artificial neural network in BOTDA sensor system

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

doi:10.1109/OECC.2015.7340143

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 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 language	English
Title of host publication	2015 Opto-Electronics and Communications Conference, OECC 2015
Publisher	IEEE
ISBN (Electronic)	9781467379441
DOIs	https://doi.org/10.1109/OECC.2015.7340143
Publication status	Published - 30 Nov 2015
Event	Opto-Electronics and Communications Conference, OECC 2015 - Shanghai, China Duration: 28 Jun 2015 → 2 Jul 2015

Conference

Conference	Opto-Electronics and Communications Conference, OECC 2015
Country/Territory	China
City	Shanghai
Period	28/06/15 → 2/07/15

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10.1109/OECC.2015.7340143

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TY - GEN

T1 - Temperature profile extraction using artificial neural network in BOTDA sensor system

AU - Azad, Abul Kalam

AU - Wang, Liang

AU - Guo, N.

AU - Lu, Chao

AU - Tam, Hwa Yaw

PY - 2015/11/30

Y1 - 2015/11/30

N2 - 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.

AB - 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.

KW - Artificial neural network

KW - BOTDA

KW - Brillouin scattering

KW - Lorentzian curve fitting

UR - http://www.scopus.com/inward/record.url?scp=84960918613&partnerID=8YFLogxK

U2 - 10.1109/OECC.2015.7340143

DO - 10.1109/OECC.2015.7340143

M3 - Conference article published in proceeding or book

BT - 2015 Opto-Electronics and Communications Conference, OECC 2015

PB - IEEE

T2 - Opto-Electronics and Communications Conference, OECC 2015

Y2 - 28 June 2015 through 2 July 2015

ER -

Temperature profile extraction using artificial neural network in BOTDA sensor system

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