Novel Solar Panel Defect Detection Hardware and Defect Analysis Software: Cooperative Research and Development Final Report, CRADA Number CRD-22-22823

Research output: NLRTechnical Report

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 languageAmerican English
Number of pages15
DOIs
StatePublished - 2025

NLR Publication Number

  • NREL/TP-5K00-94428

Keywords

  • CRADA
  • defect types
  • electroluminescence images
  • solar panel defect detection
  • UV fluorescence (UVF) defect detection

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