Title :
Neural network application to head and tail width control in a hot strip mill
Author :
Yao, X. ; Tieu, A.K. ; Fang, X.D. ; Frances, D.
Author_Institution :
Dept. of Mech. Eng., Wollongong Univ., NSW, Australia
Abstract :
Width is one of the main quality items for hot rolled strip. Head and tail width control plays an important role, not only for width control, but also for minimising crop losses. A neural network incorporating expert knowledge is developed to monitor the shape of the head and tail width, and to provide decisions to the control system for achieving the optimum head and tail width control. Performance of this system is much better than the conventional system
Keywords :
hot rolling; neural nets; neurocontrollers; pattern recognition; process control; quality control; size control; steel industry; head-tail width control; hot strip mill; neural control; neural network; pattern recognition; quality control; shape monitoring; steel industry; Bars; Control systems; Crops; Intelligent networks; Marine animals; Milling machines; Monitoring; Neural networks; Shape control; Strips; Tail;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488140