Data-Driven Fault Diagnosis for Rolling Bearing Based on DIT-FFT and XGBoost

Table 5

Comparison of different models for fault diagnosis

Item	Machine Learning	EL		DL		XGBoost
	SVM	GBDT	RF	DNN	CNN
Training time (s)	10.16	48.21	52.17	132.56	50.11	59.53
Accuracy (%)	89.88	11.23	93.25	83.52	95.13	98.12