A Physics-Enhanced CNN–LSTM Predictive Condition Monitoring Method for Underground Power Cable Infrastructure

Underground high-voltage transmission cables, especially high-pressure fluid-filled (HPFF) pipe-type cable systems, are critical components of urban power networks. These systems consist of insulated conductor cables housed within steel pipes filled with pressurized fluids that provide essential ins...

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Autors principals:	Zaki Moutassem, Doha Bounaim, Gang Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-09-01
Col·lecció:	Algorithms
Matèries:	underground cables predictive condition monitoring fault detection acoustic sensing CNN–LSTM
Accés en línia:	https://www.mdpi.com/1999-4893/18/10/600
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