Machine Learning for Fault Detection and Localization in Underground Power Cables: Improving Reliability in Power Systems

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Detalles Bibliográficos
Publicado en:	The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025), p. 1516-1521
Autor principal:	Anitha, B
Otros Autores:	Mathavan, S, Santhosh, S, Sowmiya, R
Publicado:	The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Materias:	Parameter identification Benchmarks Insulation Cables Fault diagnosis System reliability Chemical sensors Fault location Cloud computing Sensors Underground cables Soil chemistry Damage detection Power cables Hybrid systems Short circuits Machine learning Real time Fault detection Decision trees Economic
Acceso en línea:	Citation/Abstract
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