Modeling Quality Knowledge to Design Log Sorting System by X Rays Tomography

Benjamin Almecija (1) , Vincent Bombardier (1) , Patrick Charpentier (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

The aim of this paper is to highlight the advantage of using human (expert) knowledge and know-how to design an automated quality control system. This study is based on an industrial case of a French sawmill. The modeling deals with qualitative analyses of round wood and sawn timber in order to tune X rays scanner system. NIAM/ORM method is used to model quality expert knowledge. It enables to establish existing or missing links in one quality or between different levels of quality. This model will improve the optimization of one or several decision methods based on experts’ knowledge of the company.

Domaines: Traitement du signal et de l'image [eess.SP]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Automatique / Robotique; Traitement du signal et de l'image [eess.SP]

Benjamin Almecija, Vincent Bombardier, Patrick Charpentier. Modeling Quality Knowledge to Design Log Sorting System by X Rays Tomography. Information Control Problems in Manufacturing, May 2012, Bucarest, Romania. pp.10.3182/20120523-3-RO-2023.00361, ⟨10.3182/20120523-3-RO-2023.00361⟩. ⟨hal-00720542⟩