Soft-sensor model of mill load based on rough set and RBF neural network

Most of the mill concentrator determine the mill load according to the noise and the ball mill operating current, and it´s low accuracy. So a mill load forecasting soft-sensor model based on the fundamental factors that reflecting the mill load is researched, Rough set theory is apply to optimization modeling data, applications RBF neural networks buliding mill load soft-sensor model and train the network Through adaptive clustering method. Test results show that the mathematical model can meet the mill load forecasting accuracy, this method laid a good foundation to enhance the level of mill load control and reduce equipment failure rates .