IMPROVING THE QUALITY CONTROL SYSTEM FOR HOT- AND COLD-ROLLED PRODUCTS AT THE MAGNITOGORSK METALLURGICAL COMBINE

被引：1

作者：

Kurban, V. V. ^{[1
]}

Salganik, V. M. ^{[2
]}

Pesin, A. M. ^{[2
]}

Fedorov, D. S. ^{[1
]}

机构：

[1] Magnitogorsk Met Combine, Magnitogorsk, Russia

[2] Nosov Magnitogorsk State Tech Univ, Magnitogorsk, Russia

来源：

METALLURGIST | 2011年 / 55卷 / 5-6期

关键词：

product quality; quality control systems; information-based control systems; neural networks; normative-reference information; prediction; modeling;

D O I：

10.1007/s11015-011-9437-z

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Modeling and predicting the course of events in production processes based on data in information-based control systems makes it possible to correct those processes, eliminate errors that were allowed to occur in previous conversions, and thus obtain a high-quality product.

引用

页码：364 / 370

页数：7