• DocumentCode
    3622293
  • Title

    Linearizing E-Type Thermocouple Output Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems

  • Author

    Dalkiran; Danisman

  • Author_Institution
    Elektrik ve Elektronik Mü
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A high precision temperature measurement unit is designed in this study. Artificial intelligence and curve fitting techniques are used to linearize output of E-type thermocouple that is preferred due to wide operational range and high emf values. The experimental data that is essential to train and test ANN and ANFIS is obtained using Wavetek 9100 calibration unit. After the successful training completion, the temperature measurement unit is realized and ANN and ANFIS based real time temperature measurement is individually achieved using thermocouple output voltage
  • Keywords
    "Artificial neural networks","Adaptive systems","Temperature measurement","Testing","Read only memory","Influenza","Artificial intelligence","Curve fitting","Calibration","Voltage"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659811
  • Filename
    1659811
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3622293