Journal article
Using near-infrared multivariate image regression to predict pulp properties
Abstract
Traditional laboratory testing of dissolving pulp is labor intensive and time consuming. Multivariate image regression (MVIR) offers a testing method that is much more rapid than the analytical chemistry approach. Pulp properties are predicted from multi-spectral, near-infrared (NIR) images of finished pulp. A single test sample can be used to predict four indicator variables for the quality of pulp - S10, S18, DCM resin, and intrinsic …
Authors
Bharati MH; MacGregor JF; Champagne M
Journal
Tappi Journal, Vol. 3, No. 5, pp. 8–14
Publication Date
May 1, 2004