Neural Network Soft Sensor Model Based On Mechanism Chaotic Analysis And its Application
Ball produce detection and control is an important aspect of ball mill control,however,contribute to the lack of effective and reliable ball detection means in the actual production process,so it is difficult to achieve optimal control.In this paper,secondary variable is selected with this mechanism analysis and information processing technology of choice,the establishment of the ball fast and accurate output of neural network soft sensor model can not only contribute to estimate the steady-state mill and ball mill on the dynamic process can effectively contribute to an online estimate,the soft-sensor model has a strong possibility.At the same time,it provides a reference for the soft measurement of power plant other parameters.This modeling method has portability.
mechanism chaos neural network Soft Sensor
Yuhong Zhao Yunhui Zhang Zeguang Su
Institute of Electrical Engineering, University of south China, Hengyang, Hunan, China Eastern Boiler Control Co.,LTD, ShenZhen, China
国际会议
西安
英文
508-514
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）