Fuzzy Logic-Based Degradation Fault Identification in Photovoltaic Arrays

The development of renewable energy technology, particularly photovoltaic (PV) systems, has increased due to the growing demand for environmentally friendly energy sources. However, PV performance may decrease due to degradation faults caused by changes in electrical characteristics and environmental conditions. This study aims to identify degradation faults in a photovoltaic array using the Fuzzy Logic method based on voltage and temperature parameters. The experimental data were collected using a sensor-based monitoring system integrated with the Blynk platform. The results demonstrate that the proposed Fuzzy Logic method can effectively classify PV operating conditions into normal, warning, and degradation fault categories. Therefore, the developed system can support real-time monitoring and improve the reliability of PV system maintenance.