Research on Ball Mill State Prediction Based on Kalman Filter Improved Least Squares Support Vector Machine(FCM-LSSVM)Algorithm
The stable operation of the ball mill is very important for the stable feeding and the improve-ment of the sorting efficiency.The existing mill state prediction method is difficult to realize the rapid detec-tion and accurate identification of mill state.The health state model of a ball mill in an iron ore concentrator is established by using Kalman filter modified least squares support vector machine method.According to the historical data of plant selection,four kinds of health state of ball mill are obtained by K-means cluster-ing algorithm training,and the real-time and rapid recognition of the running health state of field ball mill is realized.
ball millhealth state predictionKalman filterleast squares support vector machine
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