Micro gas sensor array with neural network for recognizing combustible leakage gases

被引:25
|
作者
Lee, DS [1 ]
Ban, SW
Lee, M
Lee, DD
机构
[1] ETRI, Bio MEMS Grp, Taejon, South Korea
[2] Kyungpook Natl Univ, Sch Elect & Elect Engn, Taegu 702701, South Korea
关键词
combustible leakage gas recognition; micro gas sensors; neural network;
D O I
10.1109/JSEN.2005.845186
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A micro gas sensor array, consisting of four porous tin oxide thin films added with noble metal catalysts on a micro-hotplate, was designed and fabricated. The micro-hotplate was designed to obtain a uniform thermal distribution along with a low-power consumption and fast thermal response. The sensing properties of the sensors toward certain combustible gases, i.e., propane, butane, LPG, and carbon monoxide, were evaluated. A multilayer neural network was then used to classify the gas species. The results demonstrated that the proposed micro sensor array, plus multilayer neural network employing a backpropagation learning algorithm, was very effective in recognizing specific kinds and concentration levels of combustible gas below their respective threshold limit values.
引用
收藏
页码:530 / 536
页数:7
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