Fault diagnosis of the steam turbine condenser system based on SOM neural network

被引：6
|
作者：
Hu, NS [1 ]
He, NN [1 ]
Hu, S [1 ]
机构：
[1] Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
steam turbine condenser system; fault diagnosis; SOM neural network; MATLAB;
D O I：
10.1109/ICMLC.2003.1259673
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The condenser system is one of the most important and complicated steam turbine thermodynamic systems. The SOM (self- organizing map) neural network is applied to fault diagnosis of the system, which is implemented by the neural network toolbox in MATLAB. The method for fault diagnosis of the condenser system is effective and it has been verified by simulation results.
引用
收藏
页码：1222 / 1225
页数：4
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