亚麻纱线USTER测试结果的主成分分析

On the Principal Component Analysis of the USTER Test Data of Linen Yarns

亚麻纱的条干均匀度USTER检验比黑板检验更加全面和客观,但亚麻纱线USTER测定数据的离散性大,规律性远不如棉纱USTER的检测结果。对数据特性进行研究,建立相应的数据分析模型,是USTER检测亚麻纱线质量的关键。尝试利用主成分分析法,对亚麻纱线用USTER测试方法的可行性进行探讨。研究表明USTER测定包含了匀度和棉结两个主因子,因而比黑板分析在指标上包含的信息更多,也更加全面。

At present, linen yarn is mainly tested by seriplane. USTER test of linen yarn is more objective, but its result is bigger in deviation and less disciplinary than the cotton yarns. Therefore, it＇s important to build a mathematical model to analyze the data of USTER test of linen yarn better. In this paper, the principal component analysis is used to analyze the data. The study indicates that the test of USTER contains two factors, the evenness and the nep indicating more information containing in USTER data than that of seriplane. So it is very hopeful for the use of analysis and quality control of the USTER test of line yarn.