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

Table 11

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

sfn	RFS-PSFFC-TCA-SVM		RFS-PSFFC-TCA-KNN
	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)
20	99.38	94.38	100.00	95.25
30	99.17	97.29	99.79	98.79
40	99.58	97.50	100.00	98.79
50	91.46	91.67	99.38	94.83
60	92.92	91.46	99.38	85.67
70	96.88	95.21	98.75	96.29
80	92.92	91.67	99.38	98.79
90	91.25	84.38	98.33	96.92
100	92.92	84.58	98.54	94.00
110	92.71	85.42	99.38	94.63
120	93.13	87.50	99.17	96.08
130	92.29	84.58	99.58	92.13
140	93.54	87.92	99.58	95.67
150	94.17	87.71	99.17	94.42
160	94.17	88.54	98.33	96.08
170	94.38	90.63	98.96	96.50
180	93.96	90.42	98.96	96.50
190	92.29	86.46	97.92	94.42