Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions

Table 16

The testing accuracies of RFS-PSFFC-TCAPLMS-SVM and RFS-PSFFC-TCAPLMS-KNN (the dimension size is 20).

sfn	RFS-PSFFC-TCAPLMS-SVM		RFS-PSFFC-TCAPLMS-KNN
	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)
20	82.67	68.17	93.50	63.00
30	83.83	75.50	95.67	85.67
40	85.50	78.50	97.00	78.33
50	96.33	80.83	99.67	77.83
60	99.00	86.67	98.83	77.50
70	99.50	88.17	99.50	88.00
80	98.83	89.50	98.50	86.83
90	99.33	87.17	98.83	83.00
100	99.83	88.33	99.83	86.67
110	100.00	87.83	99.83	87.50
120	100.00	89.17	100.00	89.67
130	100.00	88.50	100.00	89.33
140	100.00	84.67	100.00	86.00
150	100.00	84.17	100.00	86.33
160	99.83	77.83	100.00	79.67
170	99.67	79.17	99.83	80.83
180	99.67	66.50	100.00	67.50
190	99.17	72.67	99.50	70.67