Research Article
Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition
Table 20
Bearing fault diagnosis results obtained by the OFS-TSFRS-LMMC-SVM.
| sfn | Case 1 testing accuracy (%) | Case 2 testing accuracy (%) | Case 3 testing accuracy (%) | Case 4 testing accuracy (%) |
| 20 | 73.50 | 61.67 | 64.00 | 70.00 | 30 | 77.17 | 82.83 | 64.17 | 84.33 | 40 | 81.33 | 82.83 | 77.83 | 80.33 | 50 | 86.17 | 89.00 | 76.83 | 80.67 | 70 | 99.67 | 88.33 | 100.00 | 72.00 | 100 | 100.00 | 82.17 | 100.00 | 77.50 | 120 | 99.67 | 82.17 | 100.00 | 77.83 | 140 | 99.83 | 77.83 | 100.00 | 73.00 | 160 | 99.83 | 66.50 | 99.83 | 66.00 | 180 | 99.33 | 68.33 | 99.83 | 60.33 |
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Dimension size is 11.
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