Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network

Table 4

Training sets and test sets of models.

Models	Training time (s)	Testing time (s)	Model parameter quantity
CNN	0.501	0.304	211672
ResNet18	1.015	0.156	661508
WDCNN	0.241	0.162	99270
MK-ResNet	3.395	1.261	835274
ACNN	0.116	0.128	54076