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电子鼻分析方法在白酒分类识别中的应用
引用本文:陈秀丽,高海荣,黄振旭,赵向阳,卫世乾.电子鼻分析方法在白酒分类识别中的应用[J].信阳师范学院学报(自然科学版),2014(3):386-389,393.
作者姓名:陈秀丽  高海荣  黄振旭  赵向阳  卫世乾
作者单位:1. 郑州师范学院化学系,河南郑州,450000
2. 北京航空学院,北京,100083
3. 许昌学院学报编辑部,河南许昌,461000
摘    要:利用酒精气体及有机物交叉敏感的4个金属氧化物半导体传感器组成气体传感器阵列,建立了实时数据采集系统,提出了稳态及动态特征值提取的方法,并结合主成分分析法(PCA),用所建立的电子鼻系统对3种白酒进行了分类识别实验.结果表明:它对不同品牌白酒的稳态特征识别率达90.0%,动态特征识别率达86.6%.

关 键 词:电子鼻  白酒检测  主成分分析法  识别率

Application Research of the Electronic Nose Analysis in Liquor Classification and Recognition
Chen Xiuli,Gao Hairong,Huang Zhenxu,Zhao Xiangyang,Wei Shiqian.Application Research of the Electronic Nose Analysis in Liquor Classification and Recognition[J].Journal of Xinyang Teachers College(Natural Science Edition),2014(3):386-389,393.
Authors:Chen Xiuli  Gao Hairong  Huang Zhenxu  Zhao Xiangyang  Wei Shiqian
Institution:Chen Xiuli;Gao Hairong;Huang Zhenxu;Zhao Xiangyang;Wei Shiqian;Department of Chemistry,Zhengzhou Normal University;Beijing University of Aeronautics and Astronautics;Editorial Department of Journal ,Xuchang University;
Abstract:Based on the sensors array made up of four metal oxide semiconductor sensors which are cross sensitive to alcohol gas and organic,the real-time data acquisition was established in this paper,and the method of the steady and dynamic characteristic value extraction was proposed. Combined with principal component analysis( PCA),three kinds of liquor were conducted classification experiments by the electronic nose system. The results show that the recognition rate of electronic nose system is up to 90. 0% under the steady characteristic and 86. 6% under the dynamic characteristic for the different brands of liquor.
Keywords:electronic nose  liquor detection  principal component analysis  recognition rate
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