Application research on rough set -neural network in the fault diagnosis system of ball mill

Xijuan Wang, Tao Zhou, Jingxia

Abstract

The fault parameters of ball mill was unnoticed among large amount of data, According to the phenomenon, it put forward a fault diagnosis method of rough set to optimize neural network, and by using width algorithm, so that the fault sample set of ball mill had been processed with the discrete way. Firstly, it builded a diagnosis model of rough set-neural network, the diagnosis model had practicability and superiority compared with single network model.