Determination Of Gas Mixture Components Using Fluctuation Enhanced Sensing And The LS-SVM Regression Algorithm

Autor: Lentka Łukasz, Smulko Janusz M., Ionescu Radu, Granqvist Claes G., Kish Laszlo B.
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Metrology and Measurement Systems, Vol 22, Iss 3, Pp 341-350 (2015)
Druh dokumentu: article
ISSN: 2300-1941
DOI: 10.1515/mms-2015-0039
Popis: 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.
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