以信息融合和神经网络为理论基础,建立了风机融合神经网络模型和风机神经网络故障诊断模型。模型中,通过最近邻聚类学习算法对同类信息融合,应用人工神经网络对多源信息加以合成,并将融合结果作为输入层,进行神经网络故障诊断,实现了风机故障的智能诊断,并收到了良好效果。 Based on the theory of information fusion and neural network, the fan fusion neural network model and the fan neural network fault diagnosis model are established. In the model, the nearest neighbor clustering learning algorithm is used to fuse similar information, artificial neural network is used to synthesize multi-source information, and the result of fusion is used as input layer to diagnose the fault of the neural network and realize the intelligent diagnosis of wind turbine fault. To good effect.