Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network

Table 6

Training sets and test sets of models.

Models	Training time (s)	Testing time (s)	Model parameter quantity
CNN	0.401	0.043	211672
ResNet18	0.812	0.022	661508
WDCNN	0.193	0.023	99270
MK-ResNet	2.716	0.180	835274
ACNN	0.093	0.018	54076