9 April 2018 Nondestructive determination of the modulus of elasticity of Fraxinus mandschurica using near-infrared spectroscopy
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Abstract
A nondestructive methodology is proposed to determine the modulus of elasticity (MOE) of Fraxinus mandschurica samples by using near-infrared (NIR) spectroscopy. The test data consisted of 150 NIR absorption spectra of the wood samples obtained using an NIR spectrometer, with the wavelength range of 900 to 1900 nm. To eliminate the high-frequency noise and the systematic variations on the baseline, Savitzky–Golay convolution combined with standard normal variate and detrending transformation was applied as data pretreated methods. The uninformative variable elimination (UVE), improved by the evolutionary Monte Carlo (EMC) algorithm and successive projections algorithm (SPA) selected three characteristic variables from full 117 variables. The predictive ability of the models was evaluated concerning the root-mean-square error of prediction (RMSEP) and coefficient of determination ( R p 2 ) in the prediction set. In comparison with the predicted results of all the models established in the experiments, UVE-EMC-SPA-LS-SVM presented the best results with the smallest RMSEP of 0.652 and the highest R p 2 of 0.887. Thus, it is feasible to determine the MOE of F. mandschurica using NIR spectroscopy accurately.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Huiling Yu, Huiling Yu, Hao Liang, Hao Liang, Xue Lin, Xue Lin, Yizhuo Zhang, Yizhuo Zhang, } "Nondestructive determination of the modulus of elasticity of Fraxinus mandschurica using near-infrared spectroscopy," Optical Engineering 57(4), 046103 (9 April 2018). https://doi.org/10.1117/1.OE.57.4.046103 . Submission: Received: 30 December 2017; Accepted: 14 March 2018
Received: 30 December 2017; Accepted: 14 March 2018; Published: 9 April 2018
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