How we can use multivariate statistical analysis to predict creasing of fabrics
Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Trans Tech Publications
Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Abstract
The creasing of textiles was evaluated by means of the innovative method of measuring the angle of recovery. Our aim is to find statistically significant features contributing to the determination of creasing materials. For this purpose, to identify the inner structures of data, the method of PCA analysis was used a method with latent variables. By means of PCA analysis (method of principal components) the original nine characteristics can be reduced to two latent variables, i.e. principal components. The structure and links among the examined features are characterized by methods like: Scree Plot, Score and component loading, Scatrerplot and Dendrogram. © (2014) Trans Tech Publications, Switzerland.
Description
Subject(s)
angle of recovery, creasing, linear regression, pca analysis
Citation
ISSN
1660-9336
ISBN
9783038350606