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电子鼻传感器阵列优化及其在小麦储藏年限检测中的应用
引用本文:张红梅,王俊.电子鼻传感器阵列优化及其在小麦储藏年限检测中的应用[J].农业工程学报,2006,22(12):164-167.
作者姓名:张红梅  王俊
作者单位:浙江大学生物系统工程与食品科学学院,杭州,310029
基金项目:国家自然科学基金;教育部跨世纪优秀人才培养计划
摘    要:采用德国Airsense公司的PEN2电子鼻系统对5个陈化年限的小麦进行了检测。对传感器信号进行方差分析和Loading分析去掉差异不显著的传感器。最后选择传感器1、2、8、9、10的响应信号进行模式识别。对优化后的传感器阵列进行主成分分析得到结果显示5个年份的小麦被很好地区分,各个类的集中性也比较强。从BP网络分析结果可以看出network1(优化后传感器阵列数据的BP网络)的预测准确率高于network2(优化前传感器阵列数据的BP网络),可以更好地区分5个年份的小麦。说明对传感器进行优化去掉一些响应不显著的传感器信号并不影响模式识别结果,反而提高了电子鼻的识别性能。

关 键 词:方差分析  主成分分析  电子鼻  小麦
文章编号:1002-6819(2006)12-0164-04
收稿时间:2006-03-13
修稿时间:2006-12-04

Optimization of sensor array of electronic nose and its application to detection of storage age of wheat grain
Zhang Hongmei and Wang Jun.Optimization of sensor array of electronic nose and its application to detection of storage age of wheat grain[J].Transactions of the Chinese Society of Agricultural Engineering,2006,22(12):164-167.
Authors:Zhang Hongmei and Wang Jun
Institution:College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China;College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China
Abstract:Wheat grain of five storage ages were detected by an electronic nose(PEN2) from Airsense Company in Germany. A few of unremarkable sensors were removed by multivariate variance analysis and Loading analysis. Finally, response signals of sensor 1, 2, 8, 9, 10 were chose for pattern recognition. Principal component analysis(PCA) was applied to the signal of optimized sensor array, the five different storage ages of wheat grain were discriminated well and each group had strong convergence. The results obtained by network 1(BP neural network for signals of optimized sensor array) presented higher percentage of correct classifications than that by network 2(BP neural network for signals of original sensor array). So, removing unremarkable sensor signals by optimizing sensor array can improve the recognition performance of electronic nose.
Keywords:variance analysis  principal component analysis  electronic nose  wheat
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