Research Article
Fault Location Method in Nonsolid-Earthed Network Based on Spatial Domain Image Fusion and Convolution Neural Network
Table 5
Results of fault location under different phase-mode transformation matrixes.
| Fault types | Fault distance (km) | Clarke (km) | Range error of Clarke (km) | This paper (km) | Range error of this paper (km) |
| AG | 0.5 | 0.7350 | 0.2350 | 0.5554 | 0.0554 | 1.0 | 1.0652 | 0.0652 | 0.8966 | -0.1034 | 2.2 | 2.5064 | 0.3064 | 2.4352 | 0.2352 | 4.5 | 491 | 0.3991 | 4.4899 | -0.0101 | 5.5 | 6.7651 | 1.2651 | 5.5770 | 0.0770 | 6.0 | 6.6974 | 0.6974 | 6.0206 | 0.0206 | 7.9 | 7.4039 | -0.4961 | 8.0608 | 0.1608 | BG | 0.5 | 3.2778 | 2.7778 | 0.6003 | 0.1003 | 1.0 | 3.8437 | 2.8437 | 0.8025 | -0.1975 | 2.2 | 3.7938 | 1.5938 | 2.3667 | 0.1667 | 4.5 | 5.3339 | 0.8339 | 4.5479 | 0.0479 | 5.5 | 5.4917 | -0.0083 | 5.4859 | -0.0141 | 6.0 | 5.5436 | -0.4564 | 6.0423 | 0.0423 | 7.9 | 5.4927 | -2.4073 | 8.0606 | 0.1606 | CG | 0.5 | 0.5973 | 0.0973 | 0.6811 | 0.1811 | 1.0 | 0.9620 | -0.0380 | 0.8551 | -0.1449 | 2.2 | 2.3238 | 0.1238 | 2.3071 | 0.1071 | 4.5 | 4.7555 | 0.2557 | 4.5175 | 0.0175 | 5.5 | 6.7567 | 1.2567 | 5.3396 | -0.1604 | 6.0 | 6.7053 | 0.7053 | 5.9139 | -0.0861 | 7.9 | 7.4334 | -0.4666 | 7.8825 | -0.0175 |
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