Knowledge mining technique based fault diagnosis of shape control system in a rolling process

Based on the deep analysis of process data from the DSR shape control system of a rolling process, several typical knowledge-mining techniques are applied to reveal the relationships among process variables and to mine process knowledge about process mechanism. A process monitoring method is then presented for the detection and diagnosis of abnormal process behaviors that might cause flatness defects in the products.