Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions

To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data augmentation method based on DCGAN (Deep Convolutional Generative Adversarial Networks) is proposed. Firstly, in the DC...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	IEEE 2025-01-01
श्रृंखला:	IEEE Access
विषय:	Photovoltaic module image data generation generate adversarial networks imbalanced sample
ऑनलाइन पहुंच:	https://ieeexplore.ieee.org/document/11016723/
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!