Interrogation of FBG sensors using LPG and Artificial Neural Network

Author

Singh, Gagan ; Basu, Mainak ; Ghorai, S.K.

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

4

Abstract

In the current work, we have demonstrated a method for interrogation of FBG using two LPGs and Artificial Neural Network. The LPG acts as an edge filter for the sensor FBG, such that a change of strain on the FBG causes a wavelength shift which in turn results an increase or decrease in the power detected by the photodetector. The ANN is used to learn the pattern from the two photodetectors and the combination of LPGs ans ANN are used for reliable measurement of the strain. Results have been presented for a simply supported beam with the strain applied in the range of 0-1750μstrain.

Keywords

Bragg gratings; computerised instrumentation; electric sensing devices; fibre optic sensors; neural nets; petroleum; photodetectors; power measurement; strain measurement; strain sensors; ANN; FBG sensor; LPG; artificial neural network; edge filter; interrogation method; photodetector; power detection; strain measurement; Artificial neural networks; Fiber gratings; Optical fiber sensors; Photodetectors; Strain; ANN; FBG; LPG and Interrogation;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICGCCEE.2014.6922439

Filename

6922439