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水轮发电机组轴系是具有局部非线性多自由度的转子系统。本文通过对基于免疫原理的RBF神经网络在线学习算法的改进,利用网络的非线性逼近能力,对水轮机组轴系中非线性性最强的轴承油膜力进行了计算。并将成果运用到整个水轮发电机组轴系响应计算。
Hydrogenerator shaft is a rotor system with local nonlinearity and multi-degree of freedom. In this paper, we improve the online learning algorithm of RBF neural network based on immune principle and use the nonlinear approximation ability of the network to calculate the oil film force of the most nonlinear bearing in the shaft of turbine unit. The results are applied to the calculation of the shaft system response of the entire hydrogenerator.