Technology of MTST temperature control in cooling process of hot rolling mills

被引：0

作者：

Park C.J. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Daegu University

来源：

Journal of Institute of Control, Robotics and Systems | 2018年 / 24卷 / 03期

关键词：

Cooling process; Hot rolling mills; Modified t-test; Probability test; Run-out table; Temperature control;

D O I：

10.5302/J.ICROS.2018.17.0190

中图分类号：

学科分类号：

摘要：

In this paper, we propose an algorithm to improve the accuracy of temperature control of the steel by optimizing the heat flux learning structure in the hot rolling cooling process. A modified two-sample t-test (MTST) method is suggested to overcome the problems of the two-sample t-test, and the t-test results of two groups are calculated with probability to confirm the identity of the mean. Based on the analysis of the proposed learning structure, we verify the algorithm using the actual data of the hot rolling mills. The test results show that the performance of temperature control is significantly improved by the proposed algorithm. © ICROS 2018.

引用

页码：278 / 283

页数：5

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