Research Article

An Intelligent Fault Diagnosis Based on Adversarial Generating Module and Semi-supervised Convolutional Neural Network

Table 5

Ablation study on hyper-parameters.

Hyper-parametersValuesAccuracy of MRFCD-SSCNN (with 200 labeled samples)

Learning rate0.181.2% (±1.33)
0.0185.6% (±1.15)
0.00193.4% (±0.89)

Pool size5581.9% (±1.02)
3387.1% (±1.56)
2293.4% (±0.89)

Dropout rate0.278.2% (±2.11)
0.593.4% (±0.89)
0.784.7% (±1.48)