计算机应用与软件2024，Vol.41Issue(12)：49-55,7.DOI:10.3969/j.issn.1000-386x.2024.12.008
基于时延估计与时序加权的水泥窑温度预测
CEMENT KILN TEMPERATURE PREDICTION BASED ON TIME DELAY ESTIMATION AND TIME SERIES WEIGHTING
摘要
Abstract
In order to solve the problem that the influence of output value on the delay of process parameters is not considered in the prediction model of cement kiln temperature,a method of fuzzy curve dynamic time delay estimation and time series weighting is proposed.The total delay of each parameter was determined according to the fuzzy curve,and the dynamic delay was calculated by the adaptive sliding window.A Gaussian function was introduced to carry out timing weighting to obtain the most causal input-output samples.The stratified extreme learning machine was used to train and establish the temperature prediction model of cement kiln head.The experimental results show that considering the dynamic time delay information and time series weighting can improve the prediction accuracy of the cement kiln temperature prediction model.关键词
水泥窑/温度预测/模糊曲线分析/动态时延估计/时序加权Key words
Cement kiln/Temperature prediction/Fuzzy curve analysis/Dynamic time delay estimation/Time series weighted分类
信息技术与安全科学引用本文复制引用
许潇,雷绍俊,印四华,王中琰,金熹..基于时延估计与时序加权的水泥窑温度预测[J].计算机应用与软件,2024,41(12):49-55,7.基金项目
国家自然科学基金广东省联合重点基金项目(U1501248). （U1501248）
