利用层次径向基神经网络的汽轮机排汽焓计算  

Calculation of Steam Turbine's Exhaust Enthalpy by Using the Hierarchical Radial Basis Function Network

作　　者：高俊如[1] 丁光彬[1] 孟鑫[1] 申运章 

机构地区：[1]河北工程学院动力工程系,邯郸056021 [2]河北邯郸热电厂,邯郸056002

出　　处：《动力工程》2005年第4期466-468,472,共4页Power Engineering

摘　　要：提出了利用层次径向基神经网络计算汽轮机末级抽汽和排汽焓的方法,该方法利用汽轮机结构数据和实际监测数据估算焓值。经检验,计算精确度较高,收敛速度快,适于工程应用。对具有典型末级的某热电厂200MW汽轮机组末级抽汽及排汽焓值进行了计算,得出了汽轮机的排汽焓变化规律,为在线性能监测及排汽焓的分析计算提供了一种行之有效的方法。A method,based on the hierarchical radial basis function network for calculating the steam enthalpy of the last stage＇ s extraction and of the turbine＇ s exhaust, is being presented, It uses constructional data of the turbine together with actual on-line monitoring data for estimating the enthalpy, Probation confirms that this method is suitable for engineering purposes due to its relatively high calculating precision and quick converging property. The enthaly of the last stage extraction steam and that of the exhaust are calculated for a 200 MW set, equipped with a typical last stage in a certain cogeneration power plant. An effective way of on-line performance monitoring as well as for analyzing and calculating the exhaust enthalpy is herewith being provided, Fig 1, table 1 and refs 9,

关 键 词：动力机械工程 汽轮机 排汽焓计算 层次径向基神经网络 

分 类 号：TH113.1[机械工程—机械设计及理论] TK262[动力工程及工程热物理—动力机械及工程]