2026-10-13T23:52:13Z https://www.scidb.cn/oai

10.57760/sciencedb.39699 2026-07-06T22:14:41Z

2026-07-06 Associated Dataset for High-Impedance Ground Fault Identification in Distribution Networks doi:10.57760/sciencedb.39699 en This dataset is the associated dataset for the manuscript entitled “An Improved High-Impedance Grounding Fault Identification Method for Distribution Networks via an Enhanced Wavelet Basis and Multi-Scale Cross-Line Attention Fusion”. It is provided to support the simulation experiments, dynamic-model experiments, physical prototype experiments, and main figure/table results reported in the manuscript. The dataset contains windowed zero-sequence current records from high-impedance ground fault simulations, windowed fault-event records from dynamic-model and physical prototype experiments, metadata describing operating conditions and labels, and processed summary data corresponding to the figures and tables in the manuscript. The waveform records are extracted within fixed time windows around the fault occurrence and include time series, zero-sequence currents of multiple outgoing lines, faulted-line labels, grounding resistance, neutral grounding mode, and experiment type. The dataset can be used to verify the reported results on fault line selection accuracy, noise robustness, generalization performance, and experimental validation. high-impedance ground fault; distribution network; fault line selection; zero-sequence current; wavelet transform; attention mechanism Chen Chun PUBLIC https://creativecommons.org/licenses/by-sa/4.0/ dataset Science Data Bank