传感技术学报2018，Vol.31Issue(3)：491-496,6.DOI:10.3969/j.issn.1004-1699.2018.03.027
基于传感器阵列多特征优化融合的茶叶品质检测研究
Detection Method for Tea Quality Using Sensor Array Coupled with Multi-Feature Optimization Fusion
摘要
Abstract
In order to improve correct rate of discrimination result of different grades of tea using the electronic nose (E-nose),the overall average value,rising slope average value and relative steady-state average value were extracted from the sensor array as the feature values to optimize and fusion the sensor array of E-nose. The original feature values were normalized,the dimensional and magnitudes of feature values were unified. The overlap factor were removed through the factor loading analysis,the multi feature vector matrix was optimized.Reducing the quality of tea in intra group spacing,increasing the quality of the tea in spacing between groups by one-way analysis of vari-ance. Through the multi-feature optimization fusion of sensor array,E-nose can perform better in the detection of tea quality and reduce the inter group spacing of different grades of tea. The results of Linear Discriminant Analysis (LDA)is better than Principal Component Analysis(PCA),and three different grades of tea can be distinguished very clearly. The research provides an efficient method for E-nose's application in various fields. The results shows that the response signal of E-nose to tea can be more effectively represented using multi-feature optimization fusion, and the discrimination result can be improved.关键词
电子鼻/载荷因子/单因素方差分析/PCA分析/LDA分析Key words
electronic nose/load factor/single factor analysis of variance/Principal Component Analysis/Linear Discriminant Analysis分类
信息技术与安全科学引用本文复制引用
张红梅,邹光宇,王淼森,肖焱中,田辉,王万章..基于传感器阵列多特征优化融合的茶叶品质检测研究[J].传感技术学报,2018,31(3):491-496,6.基金项目
国家自然科学基金项目(31501213) （31501213）
河南省现代农业产业技术体系建设专项资金项目(S2017-02-G07) （S2017-02-G07）
河南省高等学校青年骨干教师计划项目(2015GGJS-077) （2015GGJS-077）
