Multidomain Feature Fusion for Varying Speed Bearing Diagnosis Using Broad Learning System

Table 5

Classification comparison of different combinations.

Models	Training dataset (km/h)	Testing dataset (km/h)	Average accuracy (%)
BLS	30	50	94.12
	30	100	79.24
	50	30	98.03
	50	100	85.63
	100	30	74.94
	100	50	91.32
ANN	30	50	87.33
	30	100	72.44
	50	30	80.02
	50	100	71.16
	100	30	79.46
	100	50	90.68
ELM	30	50	82.64
	30	100	68.65
	50	30	95.25
	50	100	81.46
	100	30	78.12
	100	50	70.18
SVM	30	50	78.91
	30	100	80.14
	50	30	94.33
	50	100	94.42
	100	30	80.95
	100	50	91.70
LR	30	50	83.05
	30	100	64.28
	50	30	95.51
	50	100	87.98
	100	30	63.35
	100	50	83.37