Title of article :
Pulsed mode of operation and artificial neural network evaluation for improving the CO selectivity of SnO2 gas sensors
Author/Authors :
Schweizer-Berberich، نويسنده , , M and Zdralek، نويسنده , , M and Weimar، نويسنده , , U and Gِpel، نويسنده , , W and Viard، نويسنده , , T and Martinez، نويسنده , , D and Seube، نويسنده , , A and Peyre-Lavigne، نويسنده , , A، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2000
Pages :
3
From page :
91
To page :
93
Abstract :
Stannic oxide sensors were developed to monitor CO concentrations (10–200 ppm). Cross sensitivities of these sensors against humidity (20–80% r.h.) and methane (400–2000 ppm) can be suppressed by evaluating “mode of operation” data. For this purpose, a sequence of switched operation temperatures introduces kinetic parameters. The latter are evaluated by model-based, or data-based algorithms. For this approach to achieve high selectivity, micromachined sensor dies are particular suitable as they show low thermal inertia.
Keywords :
Mode of operation , Stannic oxide sensors , Selectivity
Journal title :
Sensors and Actuators B: Chemical
Serial Year :
2000
Journal title :
Sensors and Actuators B: Chemical
Record number :
1410791
Link To Document :
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