ANN Modeling of a Gas Sensor

  • Baha, H. (Advance Electronics Laboratory, University of Batna Algeria) ;
  • Dibi, Z. (Advance Electronics Laboratory, University of Batna Algeria)
  • Received : 2010.08.06
  • Accepted : 2010.04.05
  • Published : 2010.09.01


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.


  1. Leonard Meijer, “Neural Network Applications in device and Subcircuit Modeling for Circuit simulation”, Thesis of Philips Research Laboratories in Eindhoven, the Netherlands 2003.
  2. Patra, J.C. Van den Bos, A. Kot, A.C. “An ANNbased smart capacitive pressure sensor in dynamic environment”, Sensors and Actuators 86, pp. 26-38 2000.
  3. Jung Y.Kim, Sung W.Kang, Tae Z.Shin, Myung K.Yang, Kyu S.Lee “Design of a Smart Gas Sensor System for Room Air- Cleaner of Automobile -Thick- Film Metal Oxide Semiconductor Gas Sensor” IEEE, PP 72-75, 2006.
  4. Kieu An NGO “Etude d’un systeme multicapteur pour la detection selective des gaz,” These de doctorat, Universite Paul Cezanne, 2006.
  5. Elena Gaura, Robert M. Newman “Smart, Intelligent and Cogent Microsensors Intelligence for Sensors and Sensors for Intelligence,” NSTI Nanotechnology 2004.
  6. Serge Zhuiykov “Gas sensor applications of oxygenionic electrolytes Development of their electron model”, ELSEVIER, Sensors and Actuators B 130 488-496 2007.
  7. P. Andrei, L.L. Fields, J.P. Zheng, Y. Cheng, P. Xiong “Modeling and simulation of single nanobelt SnO2 gas sensors with FET structure”, ELSEVIER, Sensors and Actuators 128, 226-234 2007.
  8. A.Fort, SRocchi, Serrano-Santos, RSpinicci, V.Vignoli, “Electronic Noses Based on Metal Oxide Gas Sensors the Problem of Selectivity Enhancement” IEEE, Instrumentation and Measurement, PP 599-604, 2004.
  9. M. Bendahan, J. Gu'erin, R. Boulmani, K. Aguir “WO3 sensor response according to operating temperature: Experiment and modeling”, Sensors and Actuators B 124 24-29 2007.
  10. Figaro Gas Sensor Company. Technical Information on Usage of TGS Sensors for Toxic and Explosive Gas Leak Detectors: Figaro Gas Sensor Company: Osaka, Japan, 2000.

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