A new method of correction of electronic-weighing system in the blast furnace

被引：0

作者：

Xia, JB ^{[1
]}

Zou, TP ^{[1
]}

Wang, S ^{[1
]}

Wu, EG ^{[1
]}

机构：

[1] NE Univ Technol, Dept Automat Instrument, Shenyang 110006, Peoples R China

来源：

ICEMI '97 - CONFERENCE PROCEEDINGS: THIRD INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS | 1997年

关键词：

neural-network; fuzzy; logic; BP algorithm; electronic-weighing system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the injection of pulverized coal into the blast furnace,there are some factors which affect the readout of electronic-weighing system through analyzing the measuring errors, we found that the main reasons are pressure fluctuation of storage tank and puffing tank. A neural-network-based method is given according to the interaction of pressures. Further a fuzzy logic is adopted to enhance precision. Experimental results showed this method proposed very promising.

引用

页码：360 / 363

页数：2