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

Table 9

Testing accuracies obtained by RFS-PSFFC-SVM and RFS-PSFFC-KNN.

sfn	RFS-PSFFC-SVM		RFS-PSFFC-KNN
	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)
10	10.83	11.25	99.79	75.04
20	96.25	37.29	99.79	83.38
30	99.79	46.25	99.79	94.21
40	99.79	54.38	99.79	97.75
50	100.00	54.38	99.38	93.79
60	98.54	91.04	99.38	84.21
70	98.54	91.04	99.38	99.00
80	98.96	91.88	99.17	99.00
90	99.17	95.63	99.58	97.75
100	98.75	93.13	99.58	90.67
110	99.38	92.08	99.38	92.54
120	98.96	82.71	99.38	94.21
130	98.96	82.92	99.58	91.29
140	98.13	78.75	99.58	93.38
150	98.75	79.38	99.58	91.29
160	98.54	80.00	99.58	95.04
170	98.75	81.46	99.38	94.63
180	98.54	82.92	99.38	94.42
190	98.54	83.54	98.75	94.63