摘要
本文提出了基于RBF神经网络进行汽轮机故障诊断的方法。首先建立了神经网络的诊断模型,然后利用某汽轮机的样本集对一个单隐层的RBF网络进行训练。最后,通过测试网络,验证该网络对于故障模式的识别准率较高。
The method for team turbine fault diagnosis based on RBF neural network is proposed. Firstly, the model of neural network for fault diagnosis is established,then a single hidden layer of RBF network is used for training the sample set from the turbine. Finally, the simulation shows the effective of the RBF neural network for steam turbine fault diagnosis.
出处
《黑龙江科技信息》
2012年第35期96-96,26,共2页
Heilongjiang Science and Technology Information
