b) Published literatures indicate that relatively more importance has been given to detection of defects for cold strip surfaces.
In [43], three defects of cold strips with complex geometrical shape were studied using SOM network.
Six defect types from cold strips were correctly classified with 87%to94%4% accuracy.
The rolling of cold strip begins with the retrieval of hot-rolled strip from a coil storage yard, which often uses fully automated cranes for setting and retrieving coils according to rolling schedules.
With 7% error rate, MPCNN performed much better than SVM for seven defects in cold strips.
Superiority of weak classifier (best overall result 94%) is documented for six types of defects in cold strips.
For classification of six types of defects in cold strips, 85% to 95% of accuracy was claimed.
Slabs are subsequently rolled into hot strips and then to cold strips.
Cold strips are produced by rolling hot strips in cold rolling mill after pickling process (which removes the oxide layer and cleans the surface).
Classification of five types of defects in cold strips was achieved with about 98% accuracy.
