摘要
对现有的汽轮机运行特性方程的建立方法进行了分析 ,指出其各自存在的问题 ,然后采用人工神经网络中相对成熟的BP网络建立了汽轮机特性的数学模型 ,并与常规的线性和非线性模型进行了比较。结果表明 ,采用BP网络能更准确地反映汽轮机的运行特性 。
An analysis is first performed of the existing methods used for setting up an equation for steam turbine operating characteristics along with an description of their respective demerits. Then, by the use of a relatively proven BP network among artificial neural networks a mathematical model was built for the steam turbine operation characteristics, which was compared with conventional linear and nonlinear models. The results of comparison indicate that the BP network can reflect more accurately the turbine operation characteristics. This has laid a theoretical foundation for the evaluation of steam turbine operation characteristics and the diagnosis of the turbine thermodynamic cost-effectiveness.
出处
《热能动力工程》
EI
CAS
CSCD
北大核心
2002年第3期268-270,共3页
Journal of Engineering for Thermal Energy and Power
基金
国电公司重点科技基金资助项目 (SPKJ0 13 -0 7)
关键词
BP网络
汽轮机
运行特性
Cost effectiveness
Mathematical models
Neural networks
Thermodynamics
