Bouhouche S.,Iron and Steel Applied Research Unit CSC |
Laksir Yazid L.,Iron and Steel Applied Research Unit CSC |
Hocine S.,Iron and Steel Applied Research Unit CSC |
Bast J.,TU Bergakademie Freiberg
Control Engineering Practice | Year: 2010
A method for process condition monitoring and evaluation, which combines the online support vector machine (SVM) regression and the fuzzy sets methods, is proposed. To account for the time dependence, the proposed approach is based on moving windows in order to take into account the past and new data for the model's adaptation. The fuzzy analysis is then applied to the generated residual data to give an evaluation of the condition monitoring. The proposed approach is applied to hot rolling for constructing a complementary condition monitoring system, which permits an online quality evaluation in the rolling process. Simulation results based on residual data show that the new approach is easily implementable. © 2010 Elsevier Ltd.