辽宁工程技术大学学报（自然科学版）2011，Vol.30Issue(2)：300-303,4.
汽提塔塔底氨含量的软测量模型
Soft-sensor model for NH3 concentration at stripper bottom
摘要
Abstract
Soft-sensor model based on traditional partial least squares (PLS) method is difficult to be updated with the changes of industrial process, and moving windows PLS with fixed length are also subject to missing information in sample data.A modeling method based on the moving windows PLS with varied length is proposed in this paper.In the proposed algorithm, the length of the sample data in time window is not fixed, and the old sample data are discarded when new sample data are added.Application in predicting the NH3 concentration in the pressurized stripper for coal-gasification wastewater treatment demonstrates the attractiveness of the method.The results show that the model has high precision and strong extrapolation ability.In comparison with the simple PLS and the moving windows PLS with fixed length, the mean relative errors for prediction using new method are reduced by approximately 43％ and 13％ respectively.In addition, the optimized window length is discussed in this paper.关键词
软测量/变长度滑动时间窗/偏最小二乘/汽提塔/氨含量Key words
soft-sensor/ moving windows with changed length/ PLS/ stripper/ NH3 concentration分类
化学化工引用本文复制引用
冯大春..汽提塔塔底氨含量的软测量模型[J].辽宁工程技术大学学报（自然科学版）,2011,30(2):300-303,4.基金项目
国家自然科学基金资助项目(20976204,20536020) （20976204,20536020）
