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 …
Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
PV power plants require increasingly efficient and intelligent health monitoring strategies to …
Automatic classification of defective photovoltaic module cells in electroluminescence images
Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV)
modules. EL images provide high spatial resolution, which makes it possible to detect even …
modules. EL images provide high spatial resolution, which makes it possible to detect even …
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 …
In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
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 …
A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle
A Di Tommaso, A Betti, G Fontanelli, B Michelozzi - Renewable energy, 2022 - Elsevier
As solar capacity installed worldwide continues to grow, there is an increasing awareness
that advanced inspection systems are becoming of utmost importance to schedule smart …
that advanced inspection systems are becoming of utmost importance to schedule smart …
Multiscale feature-clustering-based fully convolutional autoencoder for fast accurate visual inspection of texture surface defects
Visual inspection of texture surface defects is still a challenging task in the industrial
automation field due to the tremendous changes in the appearance of various surface …
automation field due to the tremendous changes in the appearance of various surface …
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 …