Research Article
[Retracted] Research on Pattern Recognition Method of Transformer Partial Discharge Based on Artificial Neural Network
Table 2
Detection results of different types of defects.
| Pr (%) | Metal protrusion defects | Oil-stained air gap defects | Surface discharge defects | Suspension potential defects |
| Metal protrusion defects | 94 | 4 | 2 | 0 | Oil-stained air gap defects | 6 | 90 | 3 | 1 | Surface discharge defects | 5 | 6 | 89 | 0 | Suspension potential defects | 0 | 0 | 0 | 100 |
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