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ANN Modeling of a Gas Sensor
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 Title & Authors
ANN Modeling of a Gas Sensor
Baha, H.; Dibi, Z.;
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 Abstract
At present, Metal Oxide gas Sensors (MOXs) are widely used in gas detection because of its advantages, including high sensitivity and low cost. However, MOX presents well-known problems, including lack of selectivity and environment effect, which has motivated studies on different measurement strategies and signal-processing algorithms. In this paper, we present an artificial neural network (ANN) that models an MOX sensor (TGS822) used in a dynamic environment. This model takes into account dependence in relative humidity and in gas nature. Using MATLAB interface in the design phase and optimization, the proposed model is implemented as a component in an electronic simulator library and accurately expressed the nonlinear character of the response and that its dependence on temperature and relative humidity were higher than gas nature.
 Keywords
ABM;ANN;Gas sensor;Implementation;Modeling;
 Language
English
 Cited by
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The Volume Measurement of Air Flowing through a Cross-section with PLC Using Trapezoidal Rule Method,;

Journal of Electrical Engineering and Technology, 2013. vol.8. 4, pp.872-878 crossref(new window)
1.
Study of Giant Magnetostrictive Thin Films With Gas Sensitive Layer for Use as Gas Concentration Sensors, IEEE Sensors Journal, 2012, 12, 6, 1703  crossref(new windwow)
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The Volume Measurement of Air Flowing through a Cross-section with PLC Using Trapezoidal Rule Method, Journal of Electrical Engineering and Technology, 2013, 8, 4, 872  crossref(new windwow)
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