Analysis of Defect Detection and Recognition Methods for Photovoltaic Arrays Based on Deep Learning
This paper describes the types and characteristics of defects in photovoltaic arrays,and explores the application of deep learning in this field.Key technologies include feature extraction,classifier selection,and defect recognition model design and implementation.It achieves accurate identification and localization of defects in photovoltaic arrays through deep learning techniques.
deep learningdefect detectiondefect recognitionfeature extractionclassifier
NETL
NSTL
万方数据
