A New Correction Method of Electronic-weighing System for Blast Furnace

被引：0
|
作者：
Zou Tiepeng [1 ]
Xia Jingbo [1 ]
Wang Shi [1 ]
Lu Zengxi [1 ]
机构：
[1] Northeastern University
来源：
JournalofIronandSteelResearch(International) | 1998年 / 02期
关键词：
neural-network; fuzzy logic; BP algorithm; electronic-weighing system;
D O I：
暂无
中图分类号：
TF57 [炼铁炉（高炉）];
学科分类号：
080602 ;
摘要：
In the injection of pulverized coal into a blast furnace,there are some factors which affect the readout of electronic-weighing system.Through analyzing the measuring errors,it is found that the main reasons are pressure fluctuations of storage tank and puffing tank.According to the interaction of pressures,a neural-network-based method combined with fuzzy logic is adopted to enhance the precision.Experimental results show this method is satisfactory.
引用
收藏
页码：32 / 35
页数：4
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