A Compact 1D-CNN for Photovoltaic Fault Diagnosis With Leakage-Aware Validation: A Comparative Study

Reliable photovoltaic fault diagnosis depends on classifiers that maintain high accuracy under varying environmental conditions while remaining suitable for lightweight implementation. This study presents a one-dimensional convolutional neural network (1D-CNN) for six-class photovoltaic fault detect...

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Auteurs principaux:	Syed Zulqadar Hassan, Babar Sana, Tariq Kamal, Arsalan Masood, Muhammad Ahmad, Md. Shafiullah
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2026-01-01
Collection:	IEEE Access
Sujets:	Photovoltaic fault diagnosis 1D-CNN multiclass classification wavelet features deep learning renewable energy monitoring
Accès en ligne:	https://ieeexplore.ieee.org/document/11535433/
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