DETERMINATION OF GAS MIXTURE COMPONENTS USING FLUCTUATION ENHANCED SENSING AND THE LS-SVM REGRESSION ALGORITHM Academic Article uri icon

abstract

  • Abstract This paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration of each constituent in a mixture. We confirmed that the accuracy of the estimated gas concentration could be significantly improved by applying temperature change and ultraviolet irradiation of the WO3 layer. Fluctuation-enhanced sensing allowed us to predict the concentration of both component gases.

published proceedings

  • METROLOGY AND MEASUREMENT SYSTEMS

author list (cited authors)

  • Lentka, L., Smulko, J. M., Ionescu, R., Granqvist, C. G., & Kish, L. B.

citation count

  • 42

complete list of authors

  • Lentka, Lukasz||Smulko, Janusz M||Ionescu, Radu||Granqvist, Claes G||Kish, Laszlo B

publication date

  • January 2015