用连铸拉坯阻力异常进行漏钢预报研究  

Research of prediction with mould friction breakout during continuous casting

作　　者：魏树立[1] 姚曼[1] 杜波[1] 宫德成[1] 

机构地区：[1]大连理工大学

出　　处：《连铸》2002年第5期4-6,共3页Continuous Casting

摘　　要：拉坯阻力是连铸生产过程中的重要参数,本文使用改进型bP算法对拉坯阻力进行在线学习和预测。提出通过拉坯阻力的实测值与预测值的差值预报拉坯阻力异常和漏钢的新方法,模拟结果表明此法可行。Mould friction is an important parameter during continuous casting. In this paper an improved back - propagation (BP) neural network is presented.It is applied lo online learning and online predicting of mould friction. A new method of predicting breakout and abnormal mould friction by the difference between measured value and predicted value is put forward . The result shows that the way is feasible.

关 键 词：连铸 拉坯阻力 漏钢预报 

分 类 号：TF777[冶金工程—钢铁冶金]