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
Link To Document :
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