Research Article
Convolutional Neural Network for Voltage Sag Source Azimuth Recognition in Electrical Internet of Things
Table 3
Classification indicator.
| Fault type | Classification algorithm | Classification feature | Accuracy | Kappa |
| PPF | CNN | Multidimensional feature | 100.00% | 100.00% | KNN | Multidimensional feature | 83.24% | 82.19% | Disturbance power | 88.53% | 87.81% | Equivalent impedance | 76.18% | 74.69% | System slope | 82.35% | 81.25% | Real part of current | 82.35% | 81.25% | EL | Multidimensional feature | 64.12% | 61.88% | Disturbance power | 64.41% | 62.19% | Equivalent impedance | 64.12% | 61.88% | System slope | 64.71% | 62.50% | Real part of current | 64.71% | 62.50% |
| DLGF | CNN | Multidimensional feature | 100.00% | 100.00% | KNN | Multidimensional feature | 90.59% | 90.00% | Disturbance power | 93.24% | 92.81% | Equivalent impedance | 82.35% | 81.25% | System slope | 89.41% | 88.75% | Real part of current | 81.18% | 80.00% | EL | Multidimensional feature | 63.82% | 61.56%% | Disturbance power | 58.82% | 56.25% | Equivalent impedance | 64.41% | 62.19% | System slope | 64.12% | 61.88% | Real part of current | 64.41% | 62.19% |
| TLGF | CNN | Multidimensional feature | 100% | 100% | KNN | Multidimensional feature | 97.65% | 97.50% | Disturbance power | 79.12% | 77.81% | Equivalent impedance | 80.00% | 78.75% | System slope | 31.18% | 90.63% | Real part of current | 76.76% | 75.31% | EL | Multidimensional feature | 64.12% | 61.88% | Disturbance power | 35.29% | 31.25% | Equivalent impedance | 35.29% | 31.25% | System slope | 47.06% | 43.75% | Real part of current | 64.12% | 61.88% |
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