- Tytuł:
- 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. - Powiązania:
- https://bibliotekanauki.pl/articles/221708.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
LS-SVM algorithm
resistance gas sensor
fluctuation enhanced sensing
gas detection - Opis:
- 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.
- Źródło:
-
Metrology and Measurement Systems; 2015, 22, 3; 341-350
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł