PV module fault detection tech based on deep learning of electroluminescence
- Admin
- Sep 6, 2024
- 1 min read
A research group from China’s Beihua University and the Northeast Electric Power University has developed a novel PV defect detection method based on deep learning of electroluminescence (EL) imaging. The method utilizes the VarifocalNet deep-learning object detection framework with a ResNet-101 backbone for feature extraction. It was trained and tested on the PVEL-AD dataset, exhibiting high accuracy in detecting various defects.
Source:
Want to read more?
Subscribe to vitaliydaviy.wixsite.com to keep reading this exclusive post.
