Research Article
An Intelligent Fault Diagnosis Method for Transformer Based on IPSO-gcForest
Table 3
Comparison of diagnostic results of different models.
| Evaluation index | Fault type | Diagnostic results of different models /% | RF | DBN | gcForest | PSO-gcForest | IPSO-gcForest |
| Precision | N | 80.00 | 80.56 | 85.29 | 93.75 | 96.88 | D1 | 80.85 | 82.11 | 90.80 | 98.77 | 98.80 | D2 | 71.43 | 80.00 | 82.14 | 90.00 | 96.55 | D3 | 88.24 | 87.50 | 73.68 | 71.43 | 84.21 | T1 | 88.68 | 90.57 | 91.38 | 89.66 | 91.38 | T2 | 87.65 | 88.89 | 92.41 | 94.87 | 94.94 | T3 | 85.00 | 85.00 | 87.50 | 95.24 | 95.24 |
| Recall rate | N | 84.85 | 87.88 | 87.88 | 90.91 | 93.94 | D1 | 90.48 | 92.86 | 94.05 | 95.24 | 97.62 | D2 | 50.00 | 53.33 | 76.67 | 90.00 | 93.33 | D3 | 78.95 | 73.68 | 73.68 | 78.95 | 84.21 | T1 | 83.93 | 85.71 | 94.64 | 92.86 | 94.64 | T2 | 93.42 | 94.74 | 96.05 | 97.37 | 98.68 | T3 | 73.91 | 73.91 | 60.87 | 86.96 | 86.96 |
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