基于PLS和BP网络的硅钢铁损预测研究  

Iron loss prediction of silicon steel based on PLS and BP network

作　　者：蔡全福[1] 贺立红[1] 王志军 姚文达 欧阳帆 廖靖远 吴文浩 CAI Quanfu;HE Lihong;WANG Zhijun;YAO Wenda;OUYANG Fan;LIAO Jingyuan;WU Wenhao(WISDRI Engineering&Research Incorporation Limited,Wuhan 430223,China)

机构地区：[1]中冶南方工程技术有限公司,湖北武汉430223

出　　处：《电工钢》2023年第2期27-30,共4页ELECTRICAL STEEL

摘　　要：应用PLS(偏最小二乘)和BP网络建立硅钢的在线铁损预测数学模型,结果显示:PLS和BP网络均具有较高的拟合和预测精度,BP网络精度更高。模型可以应用于硅钢铁损的在线预报和新牌号硅钢产品的开发。The PLS(partial least squares)and BP network were applied to establish the online iron loss prediction mathematical model of silicon steel.The results showed that PLS and BP network have higher fitting and prediction accuracy,and BP network has higher accuracy.The model can be applied to on-line prediction of iron loss of silicon steel and development of new grade silicon steel products.

关 键 词：PLS BP网络 硅钢 铁损预测 

分 类 号：TG142.77[一般工业技术—材料科学与工程]