An Unsupervised Deep Feature Learning Model Based on Parallel Convolutional Autoencoder for Intelligent Fault Diagnosis of Main Reducer

Table 7

Performance of various models.

Models	Training accuracy (%)	Testing accuracy (%)
PCAE-CWT	98.18	95.86
PCAE-EMD	95.23	93.05
CAE-CWT	92.47	91.69
CAE-signal	91.83	90.41