Title : ( An application of principal component analysis method in wood defects identification )
Authors: Mohammad Mahdi Tafarroj , Hadi Kalani , Majid Moavenian , Afshin Ghanbarzadeh ,
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Abstract
In this paper, a new contribution regarding the application of principal component analysis (PCA) technique is used to detect defects in wood. For this purpose, a PCA procedure is modeled and developed accordingly. The results show that this method is applicable, appropriate and reliable for identifying defects in wood and is able to separate the clear wood from the others. In particular, in the case of wood with holes, all the squared prediction errors (SPE) were higher than their threshold while in clear wood all SPE values were less than their threshold and their values are far enough from the threshold line.
Keywords
, Fault detection, Principal component, analysis, Wood defects, Square prediction errors
@article{paperid:1042406,
author = {Tafarroj, Mohammad Mahdi and Kalani, Hadi and Moavenian, Majid and Afshin Ghanbarzadeh},
title = {An application of principal component analysis method in wood defects identification},
journal = {Journal of the Indian Academy of Wood Science},
year = {2014},
volume = {11},
number = {1},
month = {May},
issn = {0972-172x},
pages = {33--38},
numpages = {5},
keywords = {Fault detection; Principal component; analysis; Wood defects; Square prediction errors},
}
%0 Journal Article
%T An application of principal component analysis method in wood defects identification
%A Tafarroj, Mohammad Mahdi
%A Kalani, Hadi
%A Moavenian, Majid
%A Afshin Ghanbarzadeh
%J Journal of the Indian Academy of Wood Science
%@ 0972-172x
%D 2014
