Mixed gas concentration measurement using neural networks

被引：0

作者：

Winter, PW ^{[1
]}

Broten, G ^{[1
]}

Wood, H ^{[1
]}

机构：

[1] Univ Saskatchewan, Dept Elect Engn, Saskatoon, SK S7N 5A9, Canada

来源：

FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年

关键词：

gas concentration; background; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper dealt with the use of neural networks to infer gas concentrations using electrochemical cells in a multi-sensor configuration. It was shown that, due the electrochemical cells cross sensitivity to multiple gases, that a neural network could be trained to accurately model the response of multiple sensors to a mixture of gases. A method of using neural networks for detection of unknown gases and for sensor failure detection was also shown.

引用

页码：716 / 720

页数：5

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