Potential measurement techniques for photovoltaic module failure diagnosis: A review
Various characterization methods are used for the detection of PV (photovoltaic) module
defects. However, these methods yield different results with varying uncertainties …
defects. However, these methods yield different results with varying uncertainties …
Fault detection and diagnosis methods for green hydrogen production: A review
One of the green hydrogen projects is Zero Emission Hydrogen Turbine Center (ZEHTC), in
which solar panels, PEM electrolyzer, and diaphragm compressor are used to generate …
which solar panels, PEM electrolyzer, and diaphragm compressor are used to generate …
[HTML][HTML] A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations
The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
[HTML][HTML] Development of a multi-output feed-forward neural network for fault detection in Photovoltaic Systems
The main role of a fault detection and identification technique is to interpret what is causing
a PVS's real-time energy production to drop. To keep photovoltaic (PV) systems performing …
a PVS's real-time energy production to drop. To keep photovoltaic (PV) systems performing …
A fault diagnosis method for photovoltaic module current mismatch based on numerical analysis and statistics
Z Zhang, M Ma, H Wang, H Wang, W Ma, X Zhang - Solar Energy, 2021 - Elsevier
Photovoltaic (PV) module faults will not only reduce the power generation efficiency of PV
modules, but also cause a series of safety problems. As the most common fault type, current …
modules, but also cause a series of safety problems. As the most common fault type, current …
High-efficiency low-power microdefect detection in photovoltaic cells via a field programmable gate array-accelerated dual-flow network
Harvesting solar energy through photovoltaic (PV) power systems plays an important role in
achieving the goal of carbon neutrality. However, the early microdefects in PV cells …
achieving the goal of carbon neutrality. However, the early microdefects in PV cells …
A comprehensive review of supervised learning algorithms for the diagnosis of photovoltaic systems, Proposing a new approach using an ensemble learning …
GM Toche Tchio, J Kenfack, D Kassegne, FD Menga… - Applied Sciences, 2024 - mdpi.com
Photovoltaic systems are prone to breaking down due to harsh conditions. To improve the
reliability of these systems, diagnostic methods using Machine Learning (ML) have been …
reliability of these systems, diagnostic methods using Machine Learning (ML) have been …
Sample entropy‐based fault detection for photovoltaic arrays
A Khoshnami, I Sadeghkhani - IET Renewable Power …, 2018 - Wiley Online Library
Despite the growing deployment of photovoltaic (PV) systems, they are still facing
challenges in developing the proper control and protection schemes. One of the main …
challenges in developing the proper control and protection schemes. One of the main …
Identification of partial shading conditions for photovoltaic strings
Under partial shading conditions (PSC), the power-voltage (PV) characteristic curve of
photovoltaic (PV) strings exhibits multiple peaks. Such mismatching phenomenon brings …
photovoltaic (PV) strings exhibits multiple peaks. Such mismatching phenomenon brings …
[HTML][HTML] A novel protection scheme to detect, discriminate, and locate electric faults in photovoltaic arrays using a minimal number of measurements
Quality degradation, power loss, and fire hazards are amongst the consequences of
uncleared electric faults within photovoltaic (PV) arrays. This paper proposes an effective …
uncleared electric faults within photovoltaic (PV) arrays. This paper proposes an effective …