Heterogeneous measurement system based on optical fiber and ultrasonic sensors to determine ethanol concentration

Author

Possetti, Gustavo Rafael Collere ; Terada, Galileu Godoy ; Daciuk, Rafael Jose ; Ofuchi, César Yutaka ; Neves, Filipe ; De Arruda, Lúcia Valéria Ramos ; Muller, Marcia ; Fabris, José Luís

Author_Institution

Programa de Pos-Grad. em Eng. Eletr. e Inf. Ind. - CPGEI, Univ. Tecnol. Fed. do Parana, Curitiba, Brazil

fYear

2011

fDate

28-31 Oct. 2011

Firstpage

1169

Lastpage

1172

Abstract

This work shows an heterogeneous measurement system to determine the ethanol concentration in ethanol-water blends. The system is composed by two sensors: an optical fiber refractometric sensor based on long-period grating and a sound velocity sensor based on a pair of ultrasonic transducers operating in transmission-reception mode. An artificial neural network was used to correlate the sensor responses and determine the ethanol concentration. The results demonstrate that the heterogeneous measurement system can predict, without ambiguity for a range between 0 and 100% v/v, the ethanol concentration with maximum absolute error of 0.55% v/v and 0.14% v/v mean squared error, in validation step.

Keywords

chemical sensors; chemical variables measurement; computerised instrumentation; fibre optic sensors; mean square error methods; neural nets; organic compounds; refractometers; ultrasonic transducers; artificial neural network; ethanol concentration determination; ethanol-water blend; heterogeneous measurement system; long-period grating; mean squared error; optical fiber refractometric sensor; sound velocity sensor; transmission-reception mode; ultrasonic sensor; ultrasonic transducer; Acoustics; Artificial neural networks; Ethanol; Optical fiber sensors; Sensor systems; Time measurement; ethanol-water blend; heterogeneous measurement system; optical fiber sensor; sound velocity sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors, 2011 IEEE

Conference_Location

Limerick

ISSN

1930-0395

Print_ISBN

978-1-4244-9290-9

Type

conf

DOI

10.1109/ICSENS.2011.6127310

Filename

6127310