Research on Application of Residual Capsule Network in Fault Diagnosis of Rotating Machinery
To meet the fault diagnosis requirements in rotating machinery,a residual capsule network fault diagnosis model is constructed by introducing residual blocks and fuzzy C-means clustering algorithm in traditional capsule networks.On the basis of residual capsule network,attention mechanism and G-K Dynamic routing algorithm are introduced to build a fault diagnosis model of attention capsule network.Simulation analysis shows that both models can accurately test faults and have strong expressive and generalization abilities.
万方数据
维普
