Electronic Nose System and Principal Component Analysis Technique for Gases Identification

被引：0

作者：

Bedoui, Souhir ^{[1
]}

Faleh, Rabeb ^{[1
]}

Samet, Hekmet ^{[1
]}

Kachouri, Abdennaceur

机构：

[1] Univ Sfax, Natl Sch Engineer Sfax, LETI Lab, Dept Elect Engn, Sfax, Tunisia

来源：

2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2013年

关键词：

electronic nose; sensors array; gases; PCA;

D O I：

暂无

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：

An electronic nose is an intelligent system consists of a sensor network and a pattern recognition system able to know simple and complex odors. As the human nose, the artificial nose must learn to recognize different odors: the learning phase. There are several types of sensors such as fiber optic sensors, piezoelectric sensors, sensor type MOSFET. The performance of the sensor network is discussed by using pattern recognition methods. In this article, we tested Principal Component Analysis (PCA) to evaluate the ability of our sensor array to distinguish between different groups of target gases according to their nature: only in binary mixture and ternary mixture.

引用

页数：6

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