The share of renewable energy in the electricity market is increasing year by year. It is
necessary to identify damage of solar panels in a timely manner, as solar panels are …

Fault diagnosis of solar panels is essential for production capacity and safety of solar
energy, and has caught considerable attention. This paper presents an efficient method …

Due to the multiscale characteristics of defects and strong background interference, the
automation of solar cell surface defect detection is still a challenge. To address this problem …

Automatic defect detection of solar cells' near-infrared electroluminescence (EL) images is a
challenging task due to non-uniform complex texture background interference and the …

Solar cell defects exhibit significant variations and multiple types, with some defect data
being difficult to acquire or having small scales, posing challenges in terms of small sample …

Manufacturing process and human operational errors may cause small-sized defects, such
as cracks, over-welding, and black edges, on solar cell surfaces. These surface defects are …

The defects of solar cell component (SCC) will affect the service life and power generation
efficiency. In this paper, the defect images of SCC were taken by the photoluminescence …

The use of infrared or electroluminescence (EL) images of solar cell modules for defect
detection is a very important method in non-destructive testing. Traditionally, this work is …

The utilization of solar energy has experienced remarkable growth as a sustainable and
clean alternative to conventional power sources. Solar panels, as the fundamental …

The surface defects such as cracks, broken cells and unsoldered areas on the solar cell
caused by manufacturing process defects or artificial operation seriously affect the efficiency …