Research Article

Internal Leakage Diagnosis of a Hydraulic Cylinder Based on Optimization DBN Using the CEEMDAN Technique

Table 3

Optimization parameters of the DBN.

ParametersValue

Number of nodes in the input layer2000
Number of nodes in the output layer4
Number of RBMs3
Number of iterations for each RBM200
Number of nodes in the first hidden layer (obtained using the PSO-SA)860
Number of nodes in the second hidden layer (obtained using the PSO-SA)284
Number of nodes in the third hidden layer (obtained using the PSO-SA)78
Learning rate of the deep belief network (obtained using the PSO-SA)0.48
Momentum of the deep belief network (obtained using the PSO-SA)0.23