• DocumentCode
    2462050
  • Title

    Implementation of Thermistor Linearization Using LabVIEW

  • Author

    Tsai, Chin-Fu ; Li, Lung-Tsai ; Li, Chin-Hao ; Young, Ming-Shing

  • Author_Institution
    Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • fYear
    2009
  • fDate
    12-14 Sept. 2009
  • Firstpage
    530
  • Lastpage
    533
  • Abstract
    Thermistor nonlinearity is an important problem in the applications of temperature measurement. Much research has been devoted to accurate linearization but typical methods still involve complicated circuits or require algorithms for training neural networks. In this report, we demonstrate how programs for thermistor linearization involving a series or parallel resistor can be easily implement in the LabVIEW environment. The goal of this study is to define and demonstrate a technique for determining the optimal resistor value.
  • Keywords
    learning (artificial intelligence); neural nets; temperature measurement; thermistors; virtual instrumentation; LabVIEW; optimal resistor value; temperature measurement; thermistor linearization; thermistor nonlinearity; training neural networks; Circuits; Computer errors; Costs; Instruments; Linearity; Resistors; Temperature dependence; Temperature measurement; Thermal resistance; Thermistors; LabVIEW; Linearization; Thermistor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4717-6
  • Electronic_ISBN
    978-0-7695-3762-7
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2009.98
  • Filename
    5337355