"photovoltaic module fault data"
Abstract
"This dataset contains electrical and environmental measurements of photovoltaic (PV) modules operating under multiple fault conditions. It is designed to support research on PV fault diagnosis, performance analysis, and data-driven modeling under limited-sample and multi-condition scenarios. The dataset includes key operating variables such as solar irradiance, ambient temperature, open-circuit voltage, short-circuit current, maximum power point voltage and current, fill factor, and array configuration parameters. Five representative fault types commonly observed in practical PV systems are considered, including open-circuit fault, overheating fault, short-circuit fault, aging fault, and shading\/soiling fault. By integrating environmental factors, electrical characteristics, and fault labels, this dataset provides a structured benchmark for developing, validating, and comparing PV fault diagnosis algorithms, particularly those focusing on robustness, interpretability, and generalization across different operating conditions."
Fields of Study & Subjects
Photovoltaic System Optimization Techniques
Electrical Fault Detection and Protection
Fault Detection and Control Systems
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 16 January 2026
- Document type
- Dataset