Research Article
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors
Table 6
Classification performance of the three different approaches for different datasets of standard benchmark data.
| Model | 14 mil 1730 rpm | 14 mil 1750 rpm | 14 mil 1772 rpm | 14 mil 1797 rpm | 21 mil 1730 rpm | 21 mil 1750 rpm | 21 mil 1772 rpm | 21 mil 1797 rpm |
| All features | 91.39 | 93.90 | 92.68 | 91.39 | 100.00 | 100.00 | 100.00 | 100.00 | Proposed model | 94.25 | 96.25 | 96.78 | 95.60 | 100.00 | 100.00 | 100.00 | 100.00 | Algorithm [25] | 92.10 | 94.78 | 93.56 | 92.56 | 100.00 | 100.00 | 100.00 | 100.00 |
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