Research Article
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 |
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