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

Table 10

The testing accuracies of RFS-PSFFC-LFDA-SVM and RFS-PSFFC-LFDA-KNN (the dimension size is 11).

sfn	RFS-PSFFC-LFDA-SVM		RFS-PSFFC-LFDA-KNN
	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)	Case 1 testing accuracy (%)	Case 2 testing accuracy (%)
11	18.13	15.63	99.79	67.08
20	99.79	57.92	99.79	66.67
30	99.79	66.67	99.79	75.63
40	99.79	66.67	100.00	75.21
50	100.00	66.67	100.00	83.33
60	100.00	83.13	100.00	81.88
70	100.00	84.58	100.00	88.96
80	100.00	88.54	100.00	89.79
90	100.00	92.29	99.79	89.58
100	99.79	89.79	100.00	90.63
110	99.79	89.17	99.79	89.79
120	99.79	87.29	99.17	84.38
130	99.79	86.04	92.50	82.50
140	99.79	88.54	90.00	69.38
150	99.79	87.50	91.67	72.29
160	99.38	94.79	95.42	72.92
170	99.58	90.63	93.96	75.63
180	99.17	87.08	93.33	59.79
190	99.58	88.13	95.42	57.08