Parameter simulation in performance monitoring system of steam turbine unit for a fossil-fuel power plant

被引：0
|
作者：
Liu, GL [1 ]
Hu, NS [1 ]
Zhao, Y [1 ]
Wu, JF [1 ]
机构：
[1] Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
radial basis function network; simulation; steam turbine thermodynamic system; invalid parameter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A kind of neural network - radial basis function network is proposed to solve the problem brought by invalid parameter in a performance monitoring system of steam turbine unit. This network has good stability and accuracy. This paper Introduces how to use the network to simulate the parameter. At the same time, the paper puts forward to a method about off-line training by MATLAB. This method is simple and convenient to deal with the invalid parameter.
引用
收藏
页码：1249 / 1252
页数：4
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