Topological Data Analysis for fault classification on transmission lines

This paper proposes a novel method for fault classification on transmission lines through a hybrid model combining Topological Data Analysis and unsupervised Machine Learning. Through persistent homology, signal topological signatures are extracted from each current’s phase and residual current. The...

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Veröffentlicht in:	Electric power systems research Jg. 248; S. 111915
Hauptverfasser:	Gravot, Eloi, Torregrosa, Sergio, Hascoët, Nicolas, Kestelyn, Xavier, Chinesta, Francisco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2025 Elsevier
Schlagworte:	Engineering Sciences Fault classification Machine Learning Signal processing Topological Data Analysis Transmission grid Signal processing Fault classification Transmission grid Machine Learning Topological Data Analysis Fault classification Signal processing Topological Data Analysis Transmission grid Machine Learning
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
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