Fault diagnosis in photovoltaic (PV) systems is essential for ensuring reliable operation and maximizing energy yield. This paper presents an intelligent PV fault diagnosis framework based on real-time current-voltage (I-V) curve analysis and machine learning techniques. A monitoring device employing a DC/DC buck-boost...
A. Bebboukha, C. Labiod, R. Meneceur et al.· Automation, Control, and Inf...· 0 citations
This study investigates the effectiveness of machine learning techniques in predictive maintenance for reducing unexpected machine faults and optimizing maintenance strategies. A synthetic dataset was utilized to model Faults based on key operational parameters such as temperature, torque, rotational speed, and product...
Feyyaz Alpsalaz, Y. Özüpak, H. Uzel et al.· Automation, Control, and Inf...· 0 citations
In order to improve power quality in low-voltage distribution networks with nonlinear, distorted, and unbalanced loads, this research suggests an innovative design for Shunt Active Power Filters (SAPFs). Compared to conventional single-inverter SAPF structures, the improved method uses a combination of two T-Type three...
Mohamed Djelbane, Mohamed Elbar, N. Charrak et al.· Energies· 0 citations
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