Home // ALLSENSORS 2020, The Fifth International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article
Authors:
Nicolas Morati
Thierry Contaret
Jean-Luc Seguin
Marc Bendahan
Oussama Djedidi
Mohand Djeziri
Keywords: MOX gas sensor; temperature modulation; temporal attributes; multivariate analysis; gas discrimination.
Abstract:
This paper deals with a preliminary evaluation of a new data-driven approach aiming to discriminate several gases in a gas mixture, with a single Metal Oxide (MOX) sensor, under real conditions of use, i.e. in the permanent presence of a gas concentration. This method relies on a database obtained using temperature modulation of the sensor, for fixed gas concentrations. The database is increased by extracting the temporal attributes of the signal, and then reduced using principal component analysis to extract only useful information. Gas discrimination is achieved by the online projection of measurements in the principal space consisting of the two main components. Experimental results obtained on a test bench show the effectiveness of the proposed approach: carbon monoxide, ozone and nitrogen dioxide are clearly discriminated using one single MOX gas micro sensor.
Pages: 26 to 29
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2519-836X
ISBN: 978-1-61208-766-5
Location: Valencia, Spain
Dates: from November 21, 2020 to November 21, 2020