Research Article
Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions
Table 6
Testing accuracies of RFS-LFDA-SVM and RFS-LFDA-KNN.
| Dimension size | RFS-LFDA-SVM | RFS-LFDA-KNN | Case 1 testing accuracy (%) | Case 2 testing accuracy (%) | Case 1 testing accuracy (%) | Case 2 testing accuracy (%) |
| 5 | 98.75 | 81.67 | 91.88 | 51.67 | 7 | 99.58 | 86.46 | 94.17 | 58.33 | 9 | 99.58 | 86.67 | 94.79 | 59.17 | 11 | 99.79 | 87.08 | 94.79 | 58.96 |
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