A transfer-learning-based robust technique for multi-type fault detection and classification using Hilbert–Huang transform in low-voltage power distribution grids

In this paper, the authors present a new transfer-learning-based robust technique for detection and classification of multi-type faults in low-voltage power distribution grids. Three-phase current and voltage signals were initially measured and sampled at a medium-voltage/low-voltage substation upon...

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Veröffentlicht in:Neural computing & applications 2024-09, Vol.36 (26), p.16125-16139
Hauptverfasser: Rasouli-Eshghabad, Jalal, Shivaie, Mojtaba, Weinsier, Philip D.
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Sprache:eng
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