An Electronic Nose System Based on An Array of Carbon Nanotubes Gas Sensors with Pattern Recognition Techniques

摘要：

This paper presents design of an electronicnose based on an array of aligned multi-walled carbonnanotubes (MWNT) ionization gas sensors and patternrecognition techniques for gas detection. The raw data,including discharge voltages and currents, is acquired bymeasurement of sensor array response and transformedto the computer by peripheral circuit, and processed byPrincipal Components Analysis (PCA). Back-propagationneural networks (BPNN) are applied to determine gasvarieties. Results demonstrate the developed electronicnose system is capable to identify target gases successfullyand is promising for field applications.

作者: Zhao Zikai Hui Guohu

作者单位: College of Mechanical and Electrical Engineering China Jiliang University Hangzhou 310018, P.R.China College of Food Science and Biotechnology Zhejiang Gongshang University Hangzhou 310035, P.R.China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）