• DocumentCode
    1717324
  • Title

    Calibration System for Thermocouple Application Based on Technology of Virtual Instrument and Neural Network

  • Author

    Wen, Dai ; Qing, Lin ; Qiang, Lu

  • Author_Institution
    Shan Dong Univ. of Sci. & Technol., Tsingtao
  • fYear
    2007
  • Abstract
    Sensors of thermocouple is used in measure temperature system widely. However, the relation between thermocouple voltage E and temperature T, which is also called character of thermocouple, is non-linear. In automatic calibration system for thermocouple, means to realize transfer between thermocouple and temperature are method of tables and establish mathematical model of thermocouple character E~t. The paper combined technology of virtual instrument with neural network to found model on thermocouple character of E~t and the gradient descend algorithm with a momentum factor is used to adjust the parameters of RBF neural network. Then use it to measure thermocouple on-line. The paper introduces new methods about calibration system for thermocouple based on technology of virtual instrument. And it shows the hardware and software. Compare to conventional methods, it improves transfer precision, and applicable in practice.
  • Keywords
    gradient methods; radial basis function networks; thermocouples; virtual instrumentation; RBF neural network; calibration system; gradient descend algorithm; mathematical model; thermocouple application; virtual instrument; Calibration; Instruments; Mathematical model; Neural networks; Paper technology; Sensor systems; Temperature measurement; Temperature sensors; Thermal sensors; Voltage; LabView; Virtual instrument; neural network; thermocouple;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350439
  • Filename
    4350439