Temperature distributions in LPG tank with RBF neural network

Choon-Young Lee, Si-Hyun Ryu, Sang-Ryong Lee, C. Park
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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.
基于RBF神经网络的LPG储罐温度分布研究
通过在垂直和水平截面不同位置同时测量,研究了液化石油气储罐内的温度分布。监察石油气储罐的温度,是运载石油气的油罐车运作时的安全措施之一。液化石油气储罐表面温度应保持在预定值以下,例如40℃。罐内几个区域的温度由附着在表面的温度传感器模块监测。为了得到给定区域的温度场,我们提出了一种利用径向基神经网络的方法。与传统的基于物理模型的方法相比,该方法简单、直接,计算复杂度低。实验结果很好地反映了空间温度分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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