Ratio of infrared hot spot sampling of photovoltaic panels

Can infrared images detect a hotspot in a PV panel?

Vergura and Marino (2017) used infrared (IR) images to detect the hotspot in the PV module up to cell level, but they did not classify the PV panel into different classes. Niazi et al. (2019a) addressed the issue of panel classification using the Naive Bayes (NB) technique and classified the PV panel into three different classes.

Can IRT based hotspot detection and classification be used for PV modules?

In this work, an IRT based hotspot detection and classification approach for PV modules were proposed. Different training feature vectors (dataset I, dataset II, and dataset III) were used and analyzed to discriminate between healthy, non-faulty hotspot, and faulty PV panels.

Can a deeplab-Yolo hot-spot defect detection method be used to detect PV panels?

This article proposes a Deeplab-YOLO hot-spot defect detection method that combines segmentation and detection with infrared images and based on the differences and features in the shape, size, and color of PV panels and hot spots. On the one hand, it can meet the accuracy of segmentation and enhance the edge features of the target.

Why do photovoltaic panels have a hot-spot fault?

The PV panels of photovoltaic power plants are susceptible to shading by dust, bird droppings, leaves, etc. Long-term coverage on the surface of the PV panels will cause the internal circuit characteristics of the shaded part to change and become a load-consuming energy, resulting in hot-spot faults.

Where do infrared images of photovoltaic hot spots come from?

The infrared images of photovoltaic hot spots used in this paper are partly from open-source datasets and partly from an experimental collection of mono-crystalline silicon and poly-crystalline silicon photovoltaic modules. An image information collection platform is built using the FLUKE Ti200 infrared thermal image.

Do you need a detection system for hot spots of PV panels?

On the one hand, with the increasing number and time of PV panel installation, more and more PV panels are featured with hot spot defects of various sizes. Therefore, a more accurate and timely detection system for hot spots of PV panels is urgently needed. Individuals have been trying to develop a detection system for hot spots of PV panels.