锅炉技术2009，Vol.40Issue(4)：30-34,5.
基于偏最小二乘回归的锅炉传热预测建模
Prediction Modeling for Heat Transfer of Boiler Based on Partial Least-square Regression
初云涛 1谈锋 2华志刚 1陈仁深1
作者信息
- 1. 中国舰船研究设计中心,湖北,武汉430064
- 2. 上海江南造船(集团)有限公司,上海200023
- 折叠
摘要
Abstract
Due to the complexity of heat transfer mechanism, heat transfer model in furnace with simple form and applying to real-time calculation accuracy usually has a low accuracy.By using partial least squares regression (PLSR) method the boiler heat transfer model was established. This method combines the forecasting by means of model with non-model style data connotation analysis, thus, the model by mean of PLSR overcomes multivariable correlativity. The prediction model for boiler heat transfer based on PLSR has high accuracy, clear physical meaning, and more reasonable explanation to heat transfer mechanism of boiler, as compared with the ordinary least-squares regression model. The modeling method presented in this paper can be used for simulation and model-based control system design on ships steam power system and other large power system.关键词
传热/多变量相关性/偏最小二乘回归/预测建模Key words
heat transfer/multivariable correlativity/partial least-square regression/predictive modeling分类
能源科技引用本文复制引用
初云涛,谈锋,华志刚,陈仁深..基于偏最小二乘回归的锅炉传热预测建模[J].锅炉技术,2009,40(4):30-34,5.
