| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 712092 | IFAC Proceedings Volumes | 2007 | 5 Pages |
Abstract
Multivariate Image Analysis (MIA) has been developed and applied in process industry primarily for process monitoring and control purposes. This paper discussed some industrial experiences on application of MIA in the steelmaking industry that are illustrated using two case studies: (1) hot mill rolled-in scale defect classification; and (2) real-time monitoring of vacuum degasser ladle eye area. The preliminary results showed that many benefits could be realized through these high-value added applications.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
