Photovoltaic Panel Technical Defect Analysis Report

What data analysis methods are used for PV system defect detection?

Nevertheless, review papers proposed in the literature need to provide a comprehensive review or investigation of all the existing data analysis methods for PV system defect detection, including imaging-based and electrical testing techniques with greater granularity of each category's different types of techniques.

Can a single inspection method detect a defect in a photovoltaic module?

Available reports, such as the IEA PVPS Task 13 Review of Failures of Photovoltaic Modules show lists of detectable features of single inspection methods. Often, the described defects are not coherently used in different lists and to find the corresponding signature of another inspection method for the same defects becomes complicated.

How do I identify a failure of a photovoltaic module?

Typically, one relies on overviews consisting of example images and the description of typical appearances. Available reports, such as the IEA PVPS Task 13 Review of Failures of Photovoltaic Modules show lists of detectable features of single inspection methods.

What are 'defects' and 'faults' in PV systems?

Although the terms ‘defects’ and ‘faults’ were interchangeably used in the literature, it was observed that the reference to ‘defects’ was typically related to the physical components or materials used in the PV system, such as physical anomalies in PV modules (e.g., cracks, hotspots, delamination, disconnections, etc.).

What are the challenges of defect detection in PV systems?

Main challenges of defect detection in PV systems. Although data availability improves the performance of defect diagnosis systems, big data or large training datasets can degrade computational efficiency, and therefore, the effectiveness of these systems. This limits the deployment of DL-based techniques in practical applications with big data.

Why do PV panels need a fault diagnosis tool?

Continuous determination of faults must be carried out to protect the PV system from different losses, so a fault diagnosis tool is essential to the reliability and durability of the PV panels. Fault detection and diagnosis (FDD) methodologies include three main approaches as shown in Fig. 3.