Research Article
Fault Location Method in Nonsolid-Earthed Network Based on Spatial Domain Image Fusion and Convolution Neural Network
Table 4
Fault location results under different fault conditions.
| Fault close angle | Fault types | Fault distance (km) | Location result (km) | Range error (km) |
| 30° | AG | 2.5 | 2.6015 | 0.1015 | 3.8 | 3.6464 | -0.1536 | 30° | BG | 6 | 6.1125 | 0.1125 | 8.5 | 8.5372 | 0.0372 | 30° | CG | 3.5 | 3.5934 | 0.0934 | 10.5 | 10.4977 | -0.0023 | 90° | AG | 11.2 | 11.2676 | 0.0676 | 15.6 | 15.7050 | 0.1050 | 90° | G | 1.6 | 1.6304 | 0.0304 | 6.6 | 6.5188 | -0.0812 | 90° | CG | 7.6 | 7.4203 | -0.1797 | 16.8 | 16.7595 | -0.0405 | 120° | AG | 5.1 | 5.1559 | 0.0559 | 10.3 | 10.3953 | 0.0953 | 120° | BG | 3.5 | 3.4825 | -0.0175 | 18.5 | 18.4629 | -0.0371 | 120° | CG | 11.5 | 11.5596 | 0.0596 | 13.9 | 13.8692 | -0.0308 | 150° | AG | 1.0 | 0.9247 | -0.0753 | 11.5 | 11.6639 | 0.1639 | 150° | BG | 13.4 | 13.5175 | 0.1175 | 16.6 | 16.7541 | 0.1541 | 150° | CG | 3.5 | 3.4625 | -0.0375 | 12.3 | 12.4579 | 0.1579 |
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