CAJ | 학술논문

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％．
이용주정기체급유궤물교차민감적4개금속양화물반도체전감기조성기체전감기진렬，건립료실시수거채집계통，제출료은태급동태특정치제취적방법，병결합주성분분석법（PCA），용소건립적전자비계통대3충백주진행료분류식별실험．결과표명：타대불동품패백주적은태특정식별솔체90．0％，동태특정식별솔체86．6％．
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 rec-ognition 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 .