| 基于气敏传感器阵列的茶叶等级检测方法研究 |
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| 引用本文： | 张红梅,高献坤,徐国强,余泳昌.基于气敏传感器阵列的茶叶等级检测方法研究[J].河南农业大学学报,2010,44(2). |
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| 作者姓名： | 张红梅 高献坤 徐国强 余泳昌 |
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| 作者单位： | 1. 河南农业大学机电工程学院,河南,郑州,450002
2. 郑州华信学院机电系,河南,郑州,451100 |
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| 基金项目： | 中国博士后科学基金，河南农业大学博士基金 |
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| 摘 要： | 采用由6个金属氧化物气教传感器组成阵列的电子鼻对3个等级的信阳毛尖茶进行检测.通过主成分分析(PCA)、系统聚类分析和线性判别分析(LDA)对茶叶样本进行了分类判别.试验结果表明,该气敏传感器阵列可以区分不同等级的信阳毛尖茶叶.PCA、系统聚类分析和LDA判别分析的正确率分别为96.6%,88.3%,100%.
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| 关 键 词： | 传感器阵列 信阳毛尖荼 等级检测 |
Detection of tea grade based on gas array sensor |
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| ZHANG Hong-mei,GAO Xian-kun,XU Guo-qiang,YU Yong-chang.Detection of tea grade based on gas array sensor[J].Journal of Henan Agricultural University,2010,44(2). |
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| Authors: | ZHANG Hong-mei GAO Xian-kun XU Guo-qiang YU Yong-chang |
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| Institution: | 1.College of Mechanical and Electrical Engineering/a>;Henan Agricultural University/a>;Zhengzhou 450002/a>;China/a>;2.Department of Mechanical and Electrical Engineering/a>;Zhengzhou Huaxin College/a>;Zhengzhou 451100/a>;China |
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| Abstract: | Xinyang Maojian Tea grade was measured by the gas sensor array which was composed of six metal oxide semiconductor gas sensors.Principal component analysis(PCA), system cluster analysis and linear-discriminant analysis(LDA) were used in the data analysis and pattern recognition.The results show that gas sensor array could discriminate different grade of Xinyang Maojian Tea.The correct rate of PCA,system cluster analysis and LDA for tea samples are 96.6%,88.3% and 100%,respectively. |
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| Keywords: | gas sensor array Xinyang Maojian Tea grade detection |
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