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Quantitative Prediction of Latent Deterioration in Wood Coatings Using Mid-Infrared Spectroscopy and Machine Learning
2025 - IRG/WP 25-41038
Wood coatings play a vital role in prolonging the lifespan of timber structures by protecting them from environmental degradation. However, conventional evaluation methods rely on visual inspections, which cannot detect latent deterioration before visible damage occurs. This study integrates attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy with partial least squares ...
Y Teramoto
Development of an Early Degradation Diagnosis Technology for Wood Coatings Using Mid-Infrared Spectroscopy and Machine Learning
2025 - IRG/WP 25-41047
Accurately predicting the degradation state of wood coatings is challenging, and as the coating deteriorates, it becomes a major factor accelerating the degradation of the wood itself. In this study, we aimed to develop a diagnostic technology that combines mid-infrared spectroscopy and machine learning to assess latent coating degradation, which cannot be detected visually, and to enable appropri...
K Nishimura, T Ito, S Isaji, T Takano, H Ohki, Y Teramoto