冷轧电工钢在线铁损预测数学模型  

On-line Iron Loss Prediction Mathematical Model of Cold Rolled Electrical Steel

作　　者：贺立红[1] 蔡全福[1] 王志军 姚文达 He Lihong;Cai Quanfu;Wang Zhijun;Yao Wenda(WISDRI Engineering&Research Co.,Ltd.,Wuhan 430223)

机构地区：[1]中冶南方工程技术有限公司,湖北武汉430223

出　　处：《冶金设备》2023年第2期12-15,共4页Metallurgical Equipment

摘　　要：文应用多元线性回归(MLR)、主元回归(PCR)和偏最小二乘回归(PLS)三种方法建立无取向电工钢在线铁损预测数学模型,结果显示PLS法精度最高,可以应用于产品质量管控系统,进行在线质量预报及判定。In this paper,Multiple-linear-regression(MLR),Principal-component-regression(PCR)and Partial-least-squares-regression(PLS)are used to establish the mathematical model of on-line iron loss prediction of non-oriented electrical steel.The results show that PLS has the highest accuracy,and can be applied to product quality control system for on-line quality prediction and judgment.

关 键 词：无取向电工钢 铁损 数学模型 

分 类 号：TG335.22[金属学及工艺—金属压力加工]