基于灰色理论模型的交叉缩放椭圆管污垢特性预测  

Forecasting fouling characteristics of alternating elliptical axis tube based on grey theory model

作　　者：徐志明[1] 刘艳[1] 文孝强[2] 

机构地区：[1]东北电力大学能源与机械工程学院,吉林吉林132012 [2]华北电力大学能源与动力工程学院,北京102206

出　　处：《华北电力大学学报（自然科学版）》2011年第4期96-100,共5页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家重点基础研究发展规划基金项目(2007CB206904);国家自然科学基金资助项目(51076025)

摘　　要：灰色系统理论是一种研究少数据、贫信息的不确定性问题的新方法。灰预测模型具有所需数据少、预测精度高和无需先验信息的优点。搭建了污垢实验系统来测量管壁温度和出、入口温度等参数,计算出污垢热阻值。用灰色新陈代谢模型对交叉缩放椭圆管污垢预测。结果表明:该模型预测精度较高,可用该模型对污垢热阻进行预测。Grey system theory is a new way to study the uncertain problem of less data and poor information. Grey prediction model is with the advantage of less data, high precision and without prior information. A fouling test system was set up to measure the wall temperature, inlet and outlet temperature. According to these data, fouling resistance was calculated. The metabolic GM is used to forecast the fouling characteristics of alternating elliptical axis tube. The results show that the precision of the model is higho So it can be used to forecast fouling resistance.

关 键 词：灰色系统理论 新陈代谢模型 交叉缩放椭圆管 污垢热阻 预测 

分 类 号：TK172[动力工程及工程热物理—热能工程]