摘要
采用人工神经网络和一维优化方法,构成了对轴流转桨水轮机协联特性试验数据进行自动分析的方法,可以在获得试验数据的基础上,自动求出水轮机的协联特性。与传统的人工计算方法相比,大大缩短了计算时间,而且避免了不同工作水头下的特性换算,提高了分析计算精度。
This paper used artificial neural network and one dimensional optimization method to get a auto-analysis method on combination character test data in the axial-flow Kaplan turbine. It could obtain the combination character of hydraulic turbine automatically based on the test data. Compared to the classical method of artificial computation, it shortened maeh computing time and avoided the character conversion of different water head, it also increased the computation accuracy.
基金
中国华电集团公司科技研究项目(KJ06-02-13)
关键词
轴流转桨式水轮机
人工神经网络
一维优化
协联特性
the axial-flow Kaplan turbine
artificial neuralnetwork
one dimensional optimization
combination character
