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

 

Sensoren und Meßsysteme '96. Tagungsband
Düsseldorf: VDI-Verlag, 1996 (VDI-Berichte 1255)
ISBN: 3-18-091255-3
pp.149-154
Fachtagung Sensoren und Meßsysteme <8, 1996, Bad Nauheim>
English
Conference Paper
Fraunhofer IFT; 2000 dem IZM eingegliedert
artificial neural network; automative application; chemical sensor; CO; gas sensor; metal oxide sensor; micro system technology; micro technology; NO2; RGTO technique; semiconductor sensor; sensor array; signal processing; SnO2; ventilation system

Abstract
CO and NO2 measurements are of importance for the ventilation control of automobiles and other applications. For this purpose often semiconducting SnO2 sensors were 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 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 to micro controllers.

: http://publica.fraunhofer.de/documents/PX-36511.html