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 typesFault distance (km)Clarke (km)Range error of Clarke (km)This paper (km)Range error of this paper (km)

AG0.50.73500.23500.55540.0554
1.01.06520.06520.8966-0.1034
2.22.50640.30642.43520.2352
4.54910.39914.4899-0.0101
5.56.76511.26515.57700.0770
6.06.69740.69746.02060.0206
7.97.4039-0.49618.06080.1608
BG0.53.27782.77780.60030.1003
1.03.84372.84370.8025-0.1975
2.23.79381.59382.36670.1667
4.55.33390.83394.54790.0479
5.55.4917-0.00835.4859-0.0141
6.05.5436-0.45646.04230.0423
7.95.4927-2.40738.06060.1606
CG0.50.59730.09730.68110.1811
1.00.9620-0.03800.8551-0.1449
2.22.32380.12382.30710.1071
4.54.75550.25574.51750.0175
5.56.75671.25675.3396-0.1604
6.06.70530.70535.9139-0.0861
7.97.4334-0.46667.8825-0.0175