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Intelligent Multimodal Monitoring of Renewable Energy Systems Using AI Fusion Frameworks

The integration of Artificial Intelligence (AI) for fault detection and diagnosis (FDD) in renewable energy systems has become essential for handling complex, multimodal data from wind turbine installations. This study introduces a multimodal AI framework that evaluates feature-level (early) and dec...

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Principais autores: Khadija Attouri, Majdi Mansouri, Abdelmalek Kouadri, Rami Al-Hmouz, Abdulnasir Hossen
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Multimodal fusion
fault diagnosis
renewable energy
wind energy
early fusion
late fusion
Online adgang:https://ieeexplore.ieee.org/document/11328980/
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