Deep learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-Art review

• Published in: Results in engineering Vol. 23; p. 102622
• Main Authors: Jalal, Marium, Khalil, Ihsan Ullah, Haq, Azhar ul
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2024; Elsevier
• Subjects: Deep learning; Fault classification; Machine learning; PV visual faults; Deep learning; Fault classification; PV visual faults; Machine learning

PV systems are prone to external environmental conditions that affect PV system operations. Visual inspection of the impacts of faults on PV system is considered a better practice rather than onsite fault detection mechanisms. Faults such as hotspot, dark area, cracks, glass break, wavy lines, snail...