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本文研究了基于神经网络故障诊断的基本方法，重点讨论了径向基函数网络，并提出一种基于模糊聚类的选择径向基函数网络参数的方法．理论和实验均证明了这种方法的有效性。该网络适用于一般的故障诊断问题，有广阔的应用前景。
In this paper, the basic method of fault diagnosis based on neural network is studied. The radial basis function network is mainly discussed, and a method of selecting radial basis function network parameters based on fuzzy clustering is proposed. Both theory and experiment prove the effectiveness of this method. The network is suitable for general fault diagnosis problems and has a broad application prospect.