[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
Infrared machine vision and infrared thermography with deep learning: A review
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
The bearings are the crucial components of rotating machines in an industrial firm.
Unplanned failure of these components not only increases the downtime, but also leads to …
Unplanned failure of these components not only increases the downtime, but also leads to …
Artificial intelligence-based smart quality inspection for manufacturing
S Sundaram, A Zeid - Micromachines, 2023 - mdpi.com
In today's era, monitoring the health of the manufacturing environment has become essential
in order to prevent unforeseen repairs, shutdowns, and to be able to detect defective …
in order to prevent unforeseen repairs, shutdowns, and to be able to detect defective …
[PDF][PDF] 基于改进YOLOv3 的电力设备红外目标检测模型
郑含博， 李金恒， 刘洋， 崔耀辉， 平原 - 电工技术学报, 2021 - dgjsxb.ces-transaction.com
[11] 孙曙光, 李勤, 杜太行, 等. 基于一维卷积神经网络的低压万能式断路器附件故障诊断[J].
电工技术学报, 2020, 35 (12): 2562-2573. Sun Shuguang, Li Qin, Du Taihang, et al. Fault …
电工技术学报, 2020, 35 (12): 2562-2573. Sun Shuguang, Li Qin, Du Taihang, et al. Fault …
Multi-sensor fault diagnosis for misalignment and unbalance detection using machine learning
Rotating machines frequently undergo various faults causing increased maintenance and
operation costs. To minimize these costs, effective and intelligent methods are thus required …
operation costs. To minimize these costs, effective and intelligent methods are thus required …
A smart thermography camera and application in the diagnosis of electrical equipment
S Han, F Yang, H Jiang, G Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The thermography camera is widely used to inspect electrical equipment. The existing defect
assessment indicators are mainly the hot spot temperature and the relative temperature …
assessment indicators are mainly the hot spot temperature and the relative temperature …
Classification of partial discharge images using deep convolutional neural networks
M Florkowski - Energies, 2020 - mdpi.com
Artificial intelligence-based solutions and applications have great potential in various fields
of electrical power engineering. The problem of the electrical reliability of power equipment …
of electrical power engineering. The problem of the electrical reliability of power equipment …
PHAM-YOLO: A parallel hybrid attention mechanism network for defect detection of meter in substation
H Dong, M Yuan, S Wang, L Zhang, W Bao, Y Liu, Q Hu - Sensors, 2023 - mdpi.com
Accurate detection and timely treatment of component defects in substations is an important
measure to ensure the safe operation of power systems. In this study, taking substation …
measure to ensure the safe operation of power systems. In this study, taking substation …
Convolutional neural-network-based automatic dam-surface seepage defect identification from thermograms collected from UAV-mounted thermal imaging camera
Seepage inspections are vitally important for delineating damage zones and ensuring the
long-term safe operation of dams. However, vegetation, complex backgrounds, and low …
long-term safe operation of dams. However, vegetation, complex backgrounds, and low …