Abstract
The CRADA work involved 1) the development of a machine learning software architecture to automatically detect defects within Electroluminescence images of solar panels, and 2) demonstrations of the usefulness of UV Fluorescence (UVF) defect detection for a wide variety of defect types across many different solar panel technologies with different field or environmental chamber histories.
| Original language | American English |
|---|---|
| Number of pages | 15 |
| DOIs | |
| State | Published - 2025 |
NLR Publication Number
- NREL/TP-5K00-94428
Keywords
- CRADA
- defect types
- electroluminescence images
- solar panel defect detection
- UV fluorescence (UVF) defect detection