| 电子鼻在棉织物异味检测中的应用研究 |
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| 引用本文： | 高明星,王晓宁,龚龑,廖青.电子鼻在棉织物异味检测中的应用研究[J].传感器与微系统,2011,30(6):33-35. |
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| 作者姓名： | 高明星 王晓宁 龚龑 廖青 |
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| 作者单位： | 北京服装学院材料科学与工程学院,北京,100029 |
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| 基金项目： | 北京市属高等学校人才强教计划资助项目 |
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| 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.
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| 关 键 词： | 电子鼻 棉织物 异味检测 主成分分析 |
Study on application of electronic nose in cotton fabric odor detection |
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| GAO Ming-xing,WANG Xiao-ning,GONG Yan,LIAO Qing.Study on application of electronic nose in cotton fabric odor detection[J].Transducer and Microsystem Technology,2011,30(6):33-35. |
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| Authors: | GAO Ming-xing WANG Xiao-ning GONG Yan LIAO Qing |
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| Affiliation: | (School of Materials Science & Engineering,Beijing Institute of Fashion Technology,Beijing 100029,China) |
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| 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. |
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| Keywords: | electronic nose cotton fabric odor detection principal component analysis(PCA) |
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