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Possible applications of edge computing in the manufacturing industry—systematic literature review
K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …
applications of edge computing (EC) in industry. This study used the methodology of …
[HTML][HTML] Data science and machine learning in the IIoT concepts of power plants
Smart power plants are no longer just futuristic ideas but are rapidly becoming a reality, and
for this to be achievable, an application of artificial intelligence in Industrial Internet of Things …
for this to be achievable, an application of artificial intelligence in Industrial Internet of Things …
Artificial intelligence of things and circular warehouse process management of automotive parts: conceptual framework and practice review
AE Jaouhari, J Arif - International Journal of Process …, 2024 - inderscienceonline.com
In recent years, sustainable warehouse management strategies have been developed by
businesses that desire to mitigate the adverse social and environmental effects within their …
businesses that desire to mitigate the adverse social and environmental effects within their …
Hybrid variable dictionary learning for monitoring continuous and discrete variables in manufacturing processes
J Li, K Huang, D Wu, Y Liu, C Yang, W Gui - Control Engineering Practice, 2024 - Elsevier
The fusion of industrial artificial intelligence with the Industrial Internet of Things (IIoT) can
attain a heightened level of process monitoring in modern manufacturing processes. In …
attain a heightened level of process monitoring in modern manufacturing processes. In …
Condition monitoring for fault diagnosis of railway wheels using recurrence plots and convolutional neural networks (RP-CNN) models
KJ Chung, CW Lin - Measurement and Control, 2024 - journals.sagepub.com
RPThe wheel condition monitoring when the train in operation is significant task to prevent
the occurrence of unexpected event. In this study, the piezoelectric sensors were installed …
the occurrence of unexpected event. In this study, the piezoelectric sensors were installed …
Edge-computing based soft sensors with local finite impulse response models for vehicle wheel center loads estimation under multiple working conditions
Wheel center loads are usually required to be measured for the durability assessment of
vehicle key components, and thus play an important role in the reliability design of vehicles …
vehicle key components, and thus play an important role in the reliability design of vehicles …
Diagnosis of Faults in Edge-PLC using Optimized Deep Learning models in Industrial IoT
AK Kumar, TR Kumar… - 2023 9th …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) may allow for the state of equipment to be monitored and
defects to be detected before they become serious, hel** smart factories keep up with the …
defects to be detected before they become serious, hel** smart factories keep up with the …
高速列车轴箱轴承健康监测与故障诊断研究综述
顾晓辉, 杨绍普, 刘文朋, 刘泽潮 - 力学学报, 2022 - lxxb.cstam.org.cn
随着我国高速列车的发展, 针对其运营维护中的故障预测与健康管理问题日益受到关注.
轴箱轴承是高速列车走行部中的关键旋转部件, 在复杂的轮轨相互作用下极易出现由疲劳 …
轴箱轴承是高速列车走行部中的关键旋转部件, 在复杂的轮轨相互作用下极易出现由疲劳 …
CIAMS—Checkpoint‐intrigued adversary mitigation scheme for industrial internet of things
JP Donald, L Joseph - Expert Systems, 2024 - Wiley Online Library
The industrial internet of things (IIoT) encompasses smart devices, manufacturing systems,
humans, and networks for automated productive outcomes. The placement of devices and …
humans, and networks for automated productive outcomes. The placement of devices and …
IIOT fault detection using multi deep convolutional neural networks
K Nithya, R Kousalya - … on Computer Vision and Internet of …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) has revolutionized industrial automation and data-driven
decision-making across industries. IIoT system reliability and efficiency are crucial for …
decision-making across industries. IIoT system reliability and efficiency are crucial for …