Since fuzzy neural network ( FNN ) can integrate the advantages of fuzzy logic and neural networks, it is widely applied to equipment fault diagnosis. A fault diagnosis model based on clustering algorithm and FNN is presented in this paper. The Relationship Clustering Method is used in structure identification, and the network parameters are updated by gradient descent method as its learning algorithm. The result of simulation indicates that the model is effective.