An application of principal component analysis method in wood defects identification

  • Mohammad Mahdi Tafarroj
  • Hadi Kalani
  • Majid Moavenian
  • Afshin Ghanbarzadeh
Original Article
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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 
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Copyright information

© Indian Academy of Wood Science 2014

Authors and Affiliations

  • Mohammad Mahdi Tafarroj
    • 1
  • Hadi Kalani
    • 1
  • Majid Moavenian
    • 1
  • Afshin Ghanbarzadeh
    • 2
  1. 1.Mechanical Engineering DepartmentFerdowsi University of MashhadMashhadIran
  2. 2.Mechanical Engineering DepartmentShahid Chamran University of AhvazAhvazIran

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