564 citations · 766 across the 7 of their papers we have counts for
8 papers
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Structure-from-Motion
Lukas Bommes, Claudia Buerhop-Lutz, Tobias Pickel +3
To identify abnormal photovoltaic (PV) modules in large-scale PV plants economically, drone-mounted infrared (IR) cameras and automated video processing algorithms are frequently u…
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz +5
Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning…
Module-Power Prediction from PL Measurements using Deep Learning
Mathis Hoffmann, Johannes Hepp, Bernd Doll +5
The individual causes for power loss of photovoltaic modules are investigated for quite some time. Recently, it has been shown that the power loss of a module is, for example, rela…
Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
Lukas Bommes, Tobias Pickel, Claudia Buerhop-Lutz +3
Increasing deployment of photovoltaics (PV) plants demands for cheap and fast inspection. A viable tool for this task is thermographic imaging by unmanned aerial vehicles (UAV). In…
PV Modules and Their Backsheets -- A Case Study of a Multi-MW PV Power Station
Claudia Buerhop-Lutz, Oleksandr Stoyuk, Tobias Pickel +3
Degradation of backsheets (BS) and encapsulant polymer components of silicon PV modules is recognized as one of the main reasons for losses in PV plant performance and lifetime exp…
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb +8
Automated inspection plays an important role in monitoring large-scale photovoltaic power plants. Commonly, electroluminescense measurements are used to identify various types of d…
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Sergiu Deitsch, Vincent Christlein, Stephan Berger +4
Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV) modules. EL images provide high spatial resolution, which makes it possible to detect…
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
Sergiu Deitsch, Claudia Buerhop-Lutz, Evgenii Sovetkin +4
High resolution electroluminescence (EL) images captured in the infrared spectrum allow to visually and non-destructively inspect the quality of photovoltaic (PV) modules. Currentl…