• DocumentCode
    190167
  • Title

    A method for obtaining dependence mathematical models from graphics in chemical sensors

  • Author

    Monsonis, I.J. ; Pelegri-Sebastia, J. ; Sogorb, T. ; Llario, V. ; Estruch, V.D.

  • Author_Institution
    Electron. Eng. Dept., Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1807
  • Lastpage
    1810
  • Abstract
    In this paper, we try to solve a problem attached to the electronic design. When working with sensors, environmental conditions such as temperature and relative humidity must be taken into account because they affect the behaviour of the sensor, and the deviations must be corrected. Often the sensor manufacturers not provide clearly this information. In many cases only is provided a graph of the variability of the sensor according to physical parameters. So the designer has to find their own method of compensation. In this work is presented a simple procedure for obtaining mathematical models which relates the variation of the sensor (in this case resistive) with physical parameters to be corrected. The procedure could be extrapolated to any system in which one have to obtain a mathematical model from a graph. A high degree of resolution has been achieved considering information provided by the manufacturer, in the particular case of electrochemical sensors.
  • Keywords
    compensation; computer graphics; electrochemical sensors; environmental factors; production engineering computing; dependence mathematical model; electrochemical sensors; electronic design; environmental conditions; relative humidity; sensor variability graph; temperature; Approximation methods; Equations; Graphics; Mathematical model; Software; Temperature sensors; Graphics digitization; electrochemical gas sensors; multiple regressions; temperature humidity correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985377
  • Filename
    6985377