Steel plate roller abrasion loss prediction method and system

The invention relates to a steel plate roller abrasion loss prediction method and system, and relates to the field of steel rolling. According to the method, training sample data corresponding to influence factors influencing rolling kilometers in the sample data is determined through a grey relational analysis method, and input variables of the neural network are optimized; an extreme learning machine neural network is trained by using training sample data, a neural network model is established, the prediction precision of the rolling kilometers is improved, the rolling kilometers of each setof working rollers are predicted by using the trained neural network model, and then the predicted rolling kilometers are used for predicting the abrasion loss of the working rollers. The predictiondeviation of the roller abrasion loss is reduced, and the poor plate shape caused by excessive abrasion of the working roller is avoided. 本发明涉及一种钢板轧辊磨损量预测方法及系统，涉及轧钢领域。本发明通过灰色关联度分析法确定样本数据中影响轧制公里数的影响因素对应的训练样本数据，优化了神经网络的输入变量；利用训练