A comprehensive review of state estimation-based FDD approaches, with a particular focus on Artificial Intelligence (AI)-augmented Kalman filtering and hybrid frameworks that integrate Machine Learning (ML) models, including Neural Networks (NNs), Support Vector Machines (SVMs), and Gaussian Processes (GPs), with class...
S. Gargouri, Majdi Mansouri, Ahmed Anis Kahloul et al.· Energies· 0 citations
Renewable energy systems, including solar photovoltaic arrays and wind turbines, operate under highly variable environmental and operating conditions. Factors such as changing irradiance, temperature fluctuations, wind variability, and component aging make Fault Detection and Diagnosis (FDD) particularly challenging. T...
Marouane Marzouk, Majdi Mansouri, Ahmed Anis Kahloul et al.· IEEE Access· 1 citation
A Bi-stage Gaussian Process (GP) framework for non-autonomous ODEs, capable of estimating system states and their derivatives directly from noisy measurements, providing a reliable alternative to classical ODE modeling in noisy and complex systems.
R. Fezai, Byanne Malluhi, Nour Basha et al.· IEEE Access· 0 citations
Comprehensive evaluation including ensemble comparisons, ablation studies, and uncertainty metrics, namely prediction interval coverage probability and mean prediction interval width, confirms high coverage and sharpness, while feature-representation fusion ensures consistent, low-uncertainty predictions.
Majdi Mansouri, A. Kouadri, Rami Al-Hmouz et al.· IEEE Open Journal of the Ind...· 0 citations
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