$5\mathrm {e}^{-6}$ to $5\mathrm {e}^{-3}$ . The fault location results are more accurate compared with traditional methods when facing ground fault. The proposed method is of great significance for fault location under unknown topology information.">

Sparse Bayesian Learning-Based Topology Reconstruction Under Measurement Perturbation for Fault Location (original) (raw)

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