TY  - JOUR
TI  - Identification of influence factors on physical-mechanical properties, using the principal component analysis, in selecting the textile fabrics for the clothing products
AU  - Hristian, Liliana
AU  - Ostafe, Maria Magdalena
AU  - Dulgheru, Ionut
AU  - Buhu, Liliana
AU  - Buhu, Adrian
AU  - Negru, Daniela
T2  - Industria Textila
AB  - The paper aims to highlight the correlations between the physical-mechanical properties of woven fabrics made of
combed wool yarn with different fibrous compositions, using the Principal Component Analysis (PCA) method. Based
on the information on each fabric/assortment group, it is found that four main factors were extracted: durability, comfort,
production price and fabric design. The extracted components explain 92% of the variability of the twelve initial
inter-correlated variables, so that we can considerably reduce the complexity of the data configured using these
components, with only 8% loss of information. This technique that follows the controlled reduction of the number of
variables can be used subsequently for modelling the physical-mechanical properties of the fabrics and for selecting the
most suitable fabrics to satisfy the requirements of a particular field of use
DA  - 2020/10/28/
PY  - 2020
DO  - 10.35530/IT.071.05.1754
DP  - DOI.org (Crossref)
VL  - 71
IS  - 05
SP  - 438
EP  - 445
SN  - 12225347
UR  - http://revistaindustriatextila.ro/images/2020/5/005%20LILIANA%20HRISTIAN_Industria%20Textila%205_2020.pdf
Y2  - 2020/10/30/14:37:27
ER  -