基于RBF神经网络的水轮机效率计算与应用

Calculation of Hydraulic Turbine Efficiency Based on RBF Neural Network and Its Application

水轮机效率的计算一般都是通过手工查图计算所得。查图计算既要通过复杂的中间计算,又不便于利用计算机对水轮机运行工况进行分析。本文采用RBF网络对水轮机效率进行仿真计算,可求得水轮机效率值,且精度能满足生产运行。

Usually hydraulic turbine efficiency is calculated by referring the chart. This calculation by referring the chart should be carried out through the complicated intermediate calculation and does not benefit to analyze the hydraulic turbine operation conditions by using computer. In this paper,by use of RBF network hydraulic turbine efficiency can be calculated through simulation. Accuracy of the efficiency obtained from the method mention above can satisfy the productive operation requirements.