Journal of Electrical Engineering ›› 2017, Vol. 12 ›› Issue (11): 21-27.doi: 10.11985/2017.11.004

Previous Articles     Next Articles

Prediction of Rotary Kiln Based on LS-SVM andRS Drive Current

He Mengfan,Ai Hong   

  1. Beijing Information Science & Technology University Beijing 100192 China
  • Received:2017-06-19 Online:2017-11-25 Published:2017-11-25

Abstract:

Based on rough set, the least squares support vector machine (SVM) were used to predict the main drive of cement rotary kiln current, aiming at the unsteady and changing characteristics of cement kiln clinker production process. Firstly, the concept of rough set and least squares support vector machine is introduced, the current data is collected through database to establish the information table and preprocess it,the rough data is used to reduce the original data, the LS-SVM theory is used to classify and reduce the data. This fusion method overcomes the shortcoming of LS-SVM's recognition of redundant information and key information, and makes up the shortcomings of RS theory on the anti-jamming ability of input information. It is proved that this method has strong generalization ability and accurate prediction High rate.

Key words: Least square support vector machine, rough set, rotary cement kiln, main drive current

CLC Number: