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A thin-film SnO2 sensor system for simultaneous detection of CO and NO2 with neural signal evaluation

SBERVEGLIERI, Giorgio
1996-01-01
1996
Nessuno
PE3_5 Electronic properties of materials and transport
SENSORS AND ACTUATORS. B, CHEMICAL
sì
2-s2.0-0030257235
WOS:A1996WJ77500017
Sì, ma tipo non specificato
Inglese
Internazionale
36
353
357
4
Simultaneous CO and NO2 measurements are of importance for the ventilation control of automobiles and other applications, For this purpose semiconducting SnO2 sensors are often used. A well known disadvantage of SnO2 sensors is the concurrent reaction of the oxidizing NO2 and the reducing CO on the sensor surface, which causes a near zero sensor signal in the presence of both gases in a certain range of mixtures. A second disadvantage of SnO2 sensors are the long rise and decay times of the sensor signal. The combination of different SnO2 sensors, operated at different temperatures and combined with a signal evaluation system based on a specially trained neural forward network (artificial neural net (ANN)) solves this problem. The runtime version of the neural net is a small program, compatible with customary micro controllers. These signal evaluation techniques are applicable to similar problems using sensor arrays or single sensors in a non-stationary operating mode.
10
info:eu-repo/semantics/article
262
H. E., Endres; W., Gottler; R., Hartinger; S., Drost; W., Hellmich; G., Muller; C., Boschvonbraunmuhl; A., Krenkow; C., Perego; Sberveglieri, Giorgio...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/34140
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