A Deep Domain-Adversarial Transfer Fault Diagnosis Method for Rolling Bearing Based on Ensemble Empirical Mode Decomposition

Table 9

Results of various network models on the MFS-RDS bearing dataset.

	EMBRN	EMBRNDN	EMBRNMD	EMBRNDNMD
E->F	86.04%	94.38%	97.71%	99.79%
E->G	85.63%	92.92%	96.04%	98.96%
F->E	83.96%	92.08%	94.37%	98.33%
F->G	85.21%	93.95%	97.79%	97.51%
G->E	86.46%	94.79%	96.86%	98.12%
G->F	85.02%	92.92%	92.63%	98.54%
Average	85.39%	93.51%	96.01%	98.54%