Open AccessJournal Article
Design of an Intelligent and Automatic Lumber Moisture Content Measuring System
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TLDR
An intelligent MC measuring system for lumber was designed by the authors and presented, and a test showed that the mean errors of the measured results was less than 2% below fiber saturation point and even lower tian 1% around the final MC.Abstract:
An intelligent MC measuring system for lumber was designed by the authors and presented in this article.The hardware circuit and software flow chart of this system are described in detail.A dynamic compensation method is applied to eliminate zero drift and temperature drift errors.A test showed that the mean errors of the measured results from this new system was less than 4% above fiber saturation point,and less than 2% below fiber saturation point,and even lower tian 1% around the final MC(14%～9%).These results demonstrated the precision and reliability of the system to be effectively improved.read more
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Proceedings ArticleDOI
Soft sensor modeling of moisture content in drying process based on LSSVM
Dongyan Zhang,Jun Cao,Liping Sun +2 more
TL;DR: In this paper, a soft sensor model based on LSSVM was established for the weakness of wood moisture content measurement in drying process, and parameters selection adopted improved exhaust algorithm, which offered an effective approach for measuring the parameters in the complicated and nonlinear process of wood drying.
Proceedings ArticleDOI
Application of soft sensor in welding seam tracking prediction based on LSSVM and PSO with compression factor
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