摘要
阐述光伏阵列缺陷的类型和特征,探讨深度学习在该领域中的应用,关键技术包括特征提取、分类器选择、缺陷识别模型设计与实现。通过深度学习技术,实现准确识别和定位光伏阵列中的缺陷。
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.
作者
张智慧
ZHANG Zhihui(Datang Shanxi New Energy Company,Shanxi 030032,China)
出处
《电子技术（上海）》
2024年第4期274-275,共2页
Electronic Technology
关键词
深度学习
缺陷检测
缺陷识别
特征提取
分类器
deep learning
defect detection
defect recognition
feature extraction
classifier
