Research Article
Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions
Table 16
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 | 82.67 | 68.17 | 93.50 | 63.00 | 30 | 83.83 | 75.50 | 95.67 | 85.67 | 40 | 85.50 | 78.50 | 97.00 | 78.33 | 50 | 96.33 | 80.83 | 99.67 | 77.83 | 60 | 99.00 | 86.67 | 98.83 | 77.50 | 70 | 99.50 | 88.17 | 99.50 | 88.00 | 80 | 98.83 | 89.50 | 98.50 | 86.83 | 90 | 99.33 | 87.17 | 98.83 | 83.00 | 100 | 99.83 | 88.33 | 99.83 | 86.67 | 110 | 100.00 | 87.83 | 99.83 | 87.50 | 120 | 100.00 | 89.17 | 100.00 | 89.67 | 130 | 100.00 | 88.50 | 100.00 | 89.33 | 140 | 100.00 | 84.67 | 100.00 | 86.00 | 150 | 100.00 | 84.17 | 100.00 | 86.33 | 160 | 99.83 | 77.83 | 100.00 | 79.67 | 170 | 99.67 | 79.17 | 99.83 | 80.83 | 180 | 99.67 | 66.50 | 100.00 | 67.50 | 190 | 99.17 | 72.67 | 99.50 | 70.67 |
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