Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives
As global photovoltaic (PV) power generation capacity rapidly expands, efficient and
effective health management of PV systems has emerged as a critical focal point. With the …
effective health management of PV systems has emerged as a critical focal point. With the …
[HTML][HTML] Deep Learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-art review
PV systems are prone to external environmental conditions that affect PV system operations.
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Artificial intelligence in photovoltaic fault identification and diagnosis: A systematic review
Photovoltaic (PV) fault detection is crucial because undetected PV faults can lead to
significant energy losses, with some cases experiencing losses of up to 10%. The efficiency …
significant energy losses, with some cases experiencing losses of up to 10%. The efficiency …
Optimizing solar power using array topology reconfiguration with regularized deep neural networks
V Narayanaswamy, R Ayyanar… - IEEE …, 2023 - ieeexplore.ieee.org
Reconfiguring photovoltaic (PV) array connections among different topologies such as
series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate …
series-parallel, bridge-link, honeycomb, or total-cross-tied is a popular strategy to mitigate …
Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm with the YAMNet Pretrained Network
Belt conveyor systems are essential in industries like automotive, aerospace, power
generation, and heavy machinery, with idlers playing a crucial role in ensuring the smooth …
generation, and heavy machinery, with idlers playing a crucial role in ensuring the smooth …
Quantum neural network parameter estimation for photovoltaic fault detection
In this paper, we describe solar array monitoring using various machine learning methods
including neural networks. We study fault detection using a quantum computer system and …
including neural networks. We study fault detection using a quantum computer system and …
Detection, classification, and location of open-circuit and short-circuit faults in solar photovoltaic array: an approach using single sensor
SS Sakthivel, V Arunachalam… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Solar PV arrays are exponentially employed in all possible spheres, ranging from a few
hundred watts to megawatts. In this context, fault detection, classification, and location …
hundred watts to megawatts. In this context, fault detection, classification, and location …
Leveraging dynamic power benchmarks and CUSUM charts for enhanced fault detection in distributed PV systems
B Meng, R Loonen, JLM Hensen - Energy Conversion and Management, 2024 - Elsevier
Faults in photovoltaic (PV) systems are common during their operational lifetime. Existing PV
fault detection methods, which are primarily designed for large-scale PV fields, struggle with …
fault detection methods, which are primarily designed for large-scale PV fields, struggle with …
Classification of Photovoltaic Faults Using PSO-Optimized Compact Convolutional Transformer
YY Hong, LF Chen, W Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Diagnosing photovoltaic (PV) farms has become increasingly complex due to their large-
scale presence in diverse environmental conditions. A comprehensive diagnosis process …
scale presence in diverse environmental conditions. A comprehensive diagnosis process …
Fault Diagnosis in PV system using DWT and Ensembled k-NN Machine Learning Classifier
The output power of a photovoltaic (PV) system is dependent on the perfect operation of the
PV array. PV arrays may experience various fault conditions as a result of open circuit, short …
PV array. PV arrays may experience various fault conditions as a result of open circuit, short …