A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems

A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems

In this paper, a robust, multi-modal deep-learning-based fault identification method is proposed for solar photovoltaic (PV) systems, capable of detecting a wide range of faults at PV arrays, inverters, sensors, and grid connections. The proposed method combines residual convolutional neural network...

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Bibliographic Details
Main Authors: Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Access Journal of Power and Energy
Subjects:
Convolutional neural networks (CNNs)
fault identification
feature extraction
gated neural networks (GNNs)
information theory
loss function
Online Access:https://ieeexplore.ieee.org/document/10752620/
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https://ieeexplore.ieee.org/document/10752620/

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