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Use of the Partial Least Squares Method with Acoustic Vibration Spectra as a New Grading Technique for Structural Timber

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Published/Copyright: June 1, 2005
Holzforschung
From the journal Volume 57 Issue 6

Summary

This study develops a high performance grading process based on the analysis of acoustic vibrations in the audible frequency range. The unique feature of the method is that the spectrum is directly applied to obtain predictive variables for estimating the modulus of elasticity and modulus of rupture. A partial least squares regression was used. This powerful method represents a compromise between principal component regression and multi-linear regression. Partial least squares regression screens for factors which account for the variance in the predictor variables and achieves the best correlation between factors and predicted variable. The method is based on projections, similar to principle components regression, whereby a set of correlated variables is compressed into a smaller set of uncorrelated factors.

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Published Online: 2005-06-01
Published in Print: 2003-10-30

Copyright © 2003 by Walter de Gruyter GmbH & Co. KG

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  1. Contents
  2. Subject Index
  3. Species Index
  4. Author Index
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  14. The Effect of Magnesium Ions and Chelants on Peroxide Bleaching
  15. Moisture Content of Green Wood in High Temperature Water Vapor
  16. Wood Fracture Pattern during the Water Adsorption Process
  17. Use of the Partial Least Squares Method with Acoustic Vibration Spectra as a New Grading Technique for Structural Timber
  18. Mode I Fracture Behaviour on the Growth Ring Scale and Cellular Level of Spruce (Picea abies [L.] Karst.) and Beech (Fagus sylvatica L.) Loaded in the TR Crack Propagation System
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