Surface defect detection methods for industrial products: A review
Y Chen, Y Ding, F Zhao, E Zhang, Z Wu, L Shao - Applied Sciences, 2021 - mdpi.com
The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …
requirements for the quality inspection of industrial products. This paper summarizes the …
Failures of Photovoltaic modules and their Detection: A Review
Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …
technology in the recent past and the PV market has developed at an exponential rate …
CNN based automatic detection of photovoltaic cell defects in electroluminescence images
Automatic defect detection is gaining huge importance in photovoltaic (PV) field due to
limited application of manual/visual inspection and rising production quantities of PV …
limited application of manual/visual inspection and rising production quantities of PV …
Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning
With the rising use of photovoltaic and ongoing installation of large-scale photovoltaic
systems worldwide, the automation of photovoltaic monitoring methods becomes important …
systems worldwide, the automation of photovoltaic monitoring methods becomes important …
Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images
Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …
detection throughout the production, installation and operation stages of solar modules …
Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation
Electroluminescence (EL) images enable defect detection in solar photovoltaic (PV)
modules that are otherwise invisible to the naked eye, much the same way an x-ray enables …
modules that are otherwise invisible to the naked eye, much the same way an x-ray enables …
Applications of artificial intelligence to photovoltaic systems: a review
HF Mateo Romero, MÁ González Rebollo… - Applied Sciences, 2022 - mdpi.com
This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …
(PV) systems. Solar energy is one of the most important renewable energies, and the …
Automated defect identification in electroluminescence images of solar modules
Solar photovoltaic (PV) modules are susceptible to manufacturing defects, mishandling
problems or extreme weather events that can limit energy production or cause early device …
problems or extreme weather events that can limit energy production or cause early device …
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
Towards more reliable photovoltaic energy conversion systems: A weakly-supervised learning perspective on anomaly detection
With the increasing popularity of photovoltaic (PV) systems, both academia and industry
have been paying growing attention to fault prediction and health management. Although …
have been paying growing attention to fault prediction and health management. Although …