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

Table 12

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	100.00	96.67	100.00	97.08
30	100.00	99.79	100.00	99.79
40	99.79	100.00	99.79	100.00
50	96.25	92.08	99.58	98.75
60	93.33	91.88	99.58	97.92
70	99.58	100.00	99.38	99.79
80	99.58	100.00	99.79	99.79
90	99.17	91.04	99.38	99.38
100	98.54	90.63	98.96	94.79
110	98.54	89.79	99.17	94.38
120	99.58	96.46	98.96	96.67
130	99.17	92.08	99.17	93.54
140	100.00	96.25	99.38	96.67
150	99.79	96.67	99.79	95.63
160	99.58	97.50	99.79	96.67
170	99.58	97.92	99.79	96.46
180	99.38	97.71	99.38	97.08
190	99.38	97.29	98.54	96.88