GAO Ming-xing, WANG Xiao-ning, GONG Yan, et al. Study on application of electronic nose in cotton fabric odor detection[J]. 2011, 30(6): 33-35. DOI: 10.13873/j.1000-97872011.06.007.
电子鼻在棉织物异味检测中的应用研究
摘要
基于电子鼻传感器检测技术
对棉织物中5种异味整体性质的人工智能评价进行探究
根据传感器检测数据曲线和数据主成分分析(PCA)分析
结果表明:各传感器对不同异味成分的响应性不同
PCA分析法处理数据能够有效区分布样中不同的异味组分
为纺织品异味的快速、有效、客观检测评定奠定了一定的基础。
Abstract
This detection technique is based on electronic nose sensors
five odor of cotton fabric in the overall evaluation of the nature of inquiry in artificial intelligence is discussed
the sensor test data curve and the data principal component analysis(PCA) analysis show that each sensor response to different odors of different components
PCA analysis method treatment data can effectively distinguish different kinds of odor components
to lay a certain foundation for fast
effective
objective examination and evaluation of textile odor.