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

• Autorzy: Lentka Ł. , Smulko J. M. , Ionescu R. , Granqvist C. G. , Kish L. B.

Identyfikatory

DOI

10.1515/mms-2015-0039

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

LS-SVM algorithm; resistance gas sensor; fluctuation enhanced sensing; gas detection

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2015
• Tom: Vol. 22, nr 3
• Strony: 341--350
• Opis fizyczny: Bibliogr. 26 poz., rys., tab., wykr., wzory

Twórcy

autor

Lentka Ł.

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Smulko J. M.

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Ionescu R.

• Rovira i Virgili University, ETSE-DEEEA, Department of Electronics, Carrer de l`Escorxador, 43003 Tarragona, Spain

autor

Granqvist C. G.

• Uppsala University, Department of Engineering Sciences, P.O. Box 534, SE-75121 Uppsala, Sweden

autor

Kish L. B.

• Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX 77843-3128, USA

Bibliografia

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Uwagi

EN

We would like to thank Maciej Trawka, PhD student, for providing detailed noise records. This work was supported by the National Science Center, Poland, Grant Agreement DEC-2012/06/M/ST7/00444 “Detection of gases by means of nano-technological resistance sensors”. C. G. Granqvist was supported from the European Research Council under the European Community’s Seventh Framework Program (FP7/2007–2013)/ERC Grant Agreement No. 267234 “GRINDOOR”. R. Ionescu acknowledges support from the ‘Ramón y Cajal’ fellowship awarded by the Spanish Ministry for Science and Competiveness (MINECO).