凝汽式汽轮机低压缸相对内效率的改进算法  

An Improved Algorithm for Relative Internal Efficiency of Low Pressure Cylinder of Condensing Steam Turbine

作　　者：张利平[1] 王铁生[1] 高传仓[1] 王伟锋[2] 

机构地区：[1]华北水利水电学院,郑州450011 [2]西安热工研究院有限公司,西安710032

出　　处：《动力工程》2009年第3期228-231,240,共5页Power Engineering

基　　金：河南省教育厅自然科学研究资助项目(2008A470006)

摘　　要：根据汽轮机低压缸相对内效率与其影响因素之间的映射关系,提出了一种基于免疫原理的多层径向基函数(RBF)神经网络数学模型来计算汽轮机的低压缸相对内效率,并以某电厂300MW汽轮机低压缸为例,对其相对内效率进行了实际计算分析.结果表明:该模型收敛速度快、计算精度高,并有较好的泛化能力.该神经网络数学模型为汽轮机相对内效率的在线性能监测提供了一种可行的方法.According to the mapping relationship between the relative internal efficiency of low pressure cylinder of condensing steam turbine and its affecting factor, a mathematical model of multi-layer of radial basis function network（RBF） based on the immune principle was established for calculating the relative internal efficiency of low pressure cylinder of steam turbine. Taking a low pressure cylinder of 300 MW steam turbine in one power plant as a case, the relative internal efficiency of it was calculated and analyzed. Results show that the proposed model is featured by fast convergence, high calculation accuracy and good generalization ability. This mathematical model with RBF network provides a feasible method for on-line monitoring of the relative internal efficiency of the steam turbine.

关 键 词：汽轮机 低压缸 相对内效率 免疫 径向基函数神经网络 

分 类 号：TK262[动力工程及工程热物理—动力机械及工程]