Abstract: Sparse Bayesian Learning (SBL) is a popular sparse signal recovery method, and various algorithms exist under the SBL paradigm. In this paper, we introduce a novel re-parameterization that ...

Abstract: This paper addresses the challenge of fault type identification in distribution networks, where small-current grounding systems often lead to weak fault current characteristics and limit the ...