photovoltaic cell

This dataset collects production data of G12 and M10 monocrystalline silicon photovoltaic cells at various stages including metal silicon smelting, polycrystalline silicon purification, monocrystalline silicon growth, silicon wafer cutting, and monocrystalline silicon solar cell manufacturing, covering different implementation processes. It aims to conduct in-depth analysis of the production process and provide a basis for optimizing the process and improving the performance of the cells.

The anomaly detection in photovoltaic (PV) cell electroluminescence (EL) image is of great significance for the vision-based fault diagnosis. Many researchers are committed to solving this problem, but a large-scale open-world dataset is required to validate their novel ideas. We build a PV EL Anomaly Detection (PVEL-AD) dataset for polycrystalline solar cell, which contains 36,543 near-infrared images with various internal defects and heterogeneous background. This dataset contains anomaly-free images and anomalous images with 10 different categories.