Selective methane detection under varying moisture conditions using static and dynamic sensor signals

Sensors and Actuators, B: Chemical

Volumn 60, Issue 2, 1999, Pages 106-117

  Orts, Jorge ^a   Llobet, Eduard ^a   Vilanova, Xavier ^a   Brezmes, Jesus ^a   Correig, Xavier ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC HUMIDITY; BACKPROPAGATION; ETHANOL; LEARNING ALGORITHMS; METHANE; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION;

SELECTIVE METHANE DETECTION;

CHEMICAL SENSORS;

EID: 0033346371     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(99)00257-9     Document Type: Article

References (22)

1. CENELEC, Electrical apparatus for the detection of combustible gases in domestic premises, Ref. No. prEN 50194: 1996 E.
2. Butta N., Cinquegrani L., Mugno E., Tagliente A., Pizzini S. A family of tin oxide sensors with improved selectivity to methane. Sens. Actuators, B. 6:1992;253-256.
3. Massok P., Loesch M., Bertrand D. Comparison between two Figaro sensors (TGS 813 and TGS 842) for the detection of methane, in terms of selectivity and long-term stability. Sens. Actuators, B. 24-25:1995;525-528.
4. Debeda H., Dulau L., Dondon P., Menil F., Lucat C., Massok P. Development of a reliable methane detector. Sens. Actuators, B. 44:1996;248-256.
5. M. Loesch, F. Menil, C. Lucat, P. Dutronc, V. Marteau, Device for selective detection of gas, US Patent No. 5573728, 1996.
6. 2 integrated sensors. Sens. Actuators, B. 18-19:1994;658-660.
7. 3 thin-films. Sens. Actuators, B. 26:1995;81-84.
8. Faglia G., Bicelli F., Sberveglieri G., Maffezzoni P., Gubian P. Identification and quantification of methane and ethyl alcohol in an environment at variable humidity by a hybrid array. Sens. Actuators, B. 44:1997;517-520.
9. Huyberechts G., Szecówa P., Roggen J., Licznerski B.W. Simultaneous quantification of carbon monoxide and methane in humid air using a sensor array and an artificial neural network. Sens. Actuators, B. 45:1997;123-130.
10. B. Yang, M.C. Carotta, G. Faglia, M. Ferroni, V. Guidi, G. Martinelli, P. Nelli, G. Sberveglieri, Implementation of sensor arrays with neural networks, Conference Proceedings, Vol. 54, SAA '96 National Meeting on Sensors for Advanced Applications, Italian Phys. Soc., Bologna, Italy, 1997, pp. 175-179.
11. Vilanova X., Llobet E., Alcubilla R., Sueiras J.E., Correig X. Analysis of the conductance transient in thick-film tin oxide gas sensors. Sens. Actuators, B. 31:1996;175-180.
12. Llobet E., Brezmes J., Vilanova X., Sueiras J.E., Correig X. Qualitative and quantitative analysis of volatile organic compounds using transient and steady-state responses of a thick-film tin oxide gas sensor array. Sens. Actuators, B. 41:1997;13-22.
13. Ong C.K., Chong W.T., Foon W.H., Chua H.C., Birlasekaran S. Ambient temperature dependent heating power control for Motorola micro CO gas sensor. Int. J. Electron. 84(6):1998;675-684.
14. Mielle P. Managing dynamic thermal exchanges in commercial semiconducting gas sensors. Sens. Actuators, B. 34:1996;533-538.
15. J. Brezmes, E. Llobet, X. Vilanova, X. Correig, Vapour identification and quantification under variable moisture conditions using gas sensor arrays and artificial neural networks, Proceedings of the 11th European Conference on Solid-State Transducers, Eurosensors XI, Warsaw, 1997, pp. 1317-1320.
16. Gardner J.W., Bartlett P.N. A brief history of electronic noses. Sens. Actuators, B. 18-19:1994;211-220.
17. J.W. Gardner, E.L. Hines, Pattern analysis techniques, in: E. Kress-Rogers (Ed.), Handbook of Biosensors and Electronic Noses, CRC Press, USA, 1996.
18. Llobet E., Vilanova X., Correig X. Novel technique to identify gases/vapours based on response measurements of tin oxide gas sensors conductance. Proc. SPIE-Int. Soc. Opt. Eng. 2504:1995;559-566.
19. Figaro Engineering, Figaro Gas Sensors Reference Manual, Osaka, Japan, 1992.
20. Lippmann R.P. Introduction to computing with neural nets. IEEE ASSP Mag. 4(2):1987;4-22.
21. Moore S.W., Gardner J.W., Hines E.L., Göpel W., Weimar U. A modified multilayer perceptron model for gas mixture analysis. Sens. Actuators, B. 15-16:1993;344-348.
22. R. Rojas, Neural Networks, Chap. 9, Springer-Verlag, Berlin, 1996, pp. 227-261.