• DocumentCode
    3285336
  • Title

    Temperature distributions in LPG tank with RBF neural network

  • Author

    Lee, Choon-Young ; Ryu, Si-Hyun ; Lee, Sang-Ryong ; Park, Cheol-Woo

  • Author_Institution
    Dept. of Mech. Eng., Kyungpook Nat. Univ., Daegu, South Korea
  • fYear
    2009
  • fDate
    25-28 Oct. 2009
  • Firstpage
    1506
  • Lastpage
    1509
  • Abstract
    The temperature distribution in a LPG tank has been studied by simultaneous measurements in different points of vertical and horizontal sections. Monitoring the temperature of an LPG tank is one of the safety measures in the operation of tank-lorry carrying the LPG. Surface temperature of LPG tank should be maintained below predefined value which is 40°C for example. Temperatures at several regions in the tank were monitored by temperature sensors modules which are attached on the surface. To get temperature field in a given region, we proposed a technique of using radial basis neural networks. The proposed method is simple and directly performed with less computational complexity than conventional physical model based approaches. The experimental results were well performed in the estimation of a spatial temperature distribution.
  • Keywords
    computerised monitoring; mechanical engineering computing; petroleum; radial basis function networks; tanks (containers); temperature distribution; temperature sensors; LPG tank; RBF neural network; radial basis function; safety measures; temperature 40 C; temperature distribution monitoring; temperature sensors; Computer networks; Greenhouses; Interpolation; Kernel; Neural networks; Polynomials; Safety; Temperature distribution; Temperature measurement; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2009 IEEE
  • Conference_Location
    Christchurch
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-4548-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2009.5398464
  • Filename
    5398464