[1]黄三娇,王鸿博*.精纺面料织物结构参数与其抗皱性能的主成分回归分析[J].服装学报,2016,1(04):352-357.
　HUANG Sanjiao,WANG Hongbo*.Correlation of Structure Parameters with Wrinkle Resistance of the Worsted Fabrics by Regression Analysis[J].Journal of Clothing Research,2016,1(04):352-357.
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精纺面料织物结构参数与其抗皱性能的主成分回归分析()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第1卷
期数:
2016年04期
页码:
352-357
栏目:
服装材料科学
出版日期:
2016-08-29

文章信息/Info

Title:
Correlation of Structure Parameters with Wrinkle Resistance of the Worsted Fabrics by Regression Analysis
作者:
黄三娇;  王鸿博*
江南大学 生态纺织教育部重点实验室,江苏 无锡 214122
Author(s):
HUANG Sanjiao;  WANG Hongbo*
Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University,Wuxi 214122,China
分类号:
TS 103
文献标志码:
A
摘要:
为了研究织物结构参数与精纺面料抗皱性能的关系,在确定影响织物折皱回复性能的各个结构参数的基础上,应用动态回复角测试仪对21种精纺面料进行折皱回复角测试。为避免多元回归分析出现多重共线性问题,利用主成分分析方法对织物多个基本结构参数进行降维处理,得到4个互相独立的主成分。以主成分为自变量,分别取经向折皱回复角、纬向折皱回复角以及经纬向折皱回复角之和为因变量,采用回归分析的方法建立抗皱性与提取主成分的关系模型。结果表明:建立的主成分与折皱回复角之间的回归方程,达到非常显著的水平,对抗皱性能进行预测是可行的。通过主成分分析可知,主成分Z1,Z2,Z4124是决定精纺面料抗皱性的主要因素。
Abstract:
In order to study the relationship of structure parameters and wrinkle resistance of the worsted fabrics, the structure parameters having effect on fabric crease recovery were determined first, and then wrinkle recovery angle of 21 kinds of worsted fabrics was tested by dynamic recovery angle tester.Principal component analysis was used for dimensionality reduction on fabric structure parameters to avoid multiple colinear problems in multiple regression analysis,and four independent principal components were got.The model of structural parameters and extracted principal components was built with principal components as variables,the wrinkle recovery angle on warp and weft direction, respectively, and the sum of angle on these two direction as the dependent variables.It was found that the model was feasible to predict the wrinkle resistance performance. Based on the principal component analysis,it was found that the important factors of affecting wrinkle resistance of worsted fabric were principal components Z1, Z2,12 and Z44.

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更新日期/Last Update: 2016-08-30