On-Line Quality Control System in Hot Strip Mill

1984 ◽  
Vol 17 (2) ◽  
pp. 1911-1916
Author(s):  
N. Kitao ◽  
A. Urano
2014 ◽  
Vol 543-547 ◽  
pp. 1233-1236
Author(s):  
Wen Peng ◽  
Geng Sheng Ma ◽  
He Nan Bu ◽  
Jian Zhao Cao ◽  
Dian Hua Zhang

In order to improve the thickness precision, the model adaption method is of great concern which is a necessary component in the thickness control system. The sample concept is first taken into the model adaption in hot tandem mill, from which the learning coefficients are updated by a series of samples. Comparing to the single sample in traditional method, the new method can consider the variance in the length direction. And the source data is more comprehensive, the robustness is increased with flexible proportion coefficients. The thickness precision in stable production process is enhanced to 35μm. On-line result shows practical value and on-line application prospect.


Author(s):  
M. S. Rodríguez Oliva ◽  
C. Sánchez Mora ◽  
M. Carrascosa-Salmoral ◽  
M. F. Fernández Gallardo ◽  
V. Sánchez Margalet ◽  
...  

Author(s):  
Dmitri Donst ◽  
Peter Abels ◽  
Michael Ungers ◽  
Fritz Klocke ◽  
Stefan Kaierle

2014 ◽  
Vol 513-517 ◽  
pp. 1192-1196
Author(s):  
Ju Bao Qu ◽  
Shu Juan Wang

Testing for a variety of different industrial objects, this paper designed a multi on-line machine vision based on intelligent quality control system solutions. Microvision based on the company introduced the MV-8002 image acquisition card and the MV-VS1394 camera visual inspection of industrial software and hardware structure and the working principle of a high-speed online learning model of intelligent foreign recognition, it described the image acquisition card and the camera with the application and the software development. by the applications case, and the further evidence of the reliability of this system.


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