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Research on the optimization of water-cooling control in high-speed steel rolling system based on Bayesian network

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3 Author(s)
Chong Zhang ; Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Gangjun Tan ; Xiaolong Shi

The existing high-speed wire production line of Wuhan Iron and Steel Group Corporation has the shortage that reliability of water-cooling control system is poor, the temperature of rolling line fluctuation range is large. Taking these problems into consideration, we build a water-cooling temperature model based on Bayesian network in order to improve the control accuracy. And the optimized system works well in the industrial site.

Published in:

Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on

Date of Conference:

19-21 Oct. 2011