Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

Automatic fault detection and diagnosis techniques for photovoltaic arrays are crucial to promote the efficiency, reliability and safety of photovoltaic systems. In recent decades, many conventional artificial intelligence approaches have been successfully applied to automatically establish fault detection and diagnosis model using fault data samples, but most of them rely on manual feature extraction or expert knowledge to build diagnosis...