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 …

[HTML][HTML] Data science and machine learning in the IIoT concepts of power plants

SD Milić, Ž Đurović, MD Stojanović - … Journal of Electrical Power & Energy …, 2023 - Elsevier
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 …

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 …

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 …

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 …

Edge-computing based soft sensors with local finite impulse response models for vehicle wheel center loads estimation under multiple working conditions

Y Wang, X Zheng, L Wang, G Lu, Y Jia, Y Qiu… - Control Engineering …, 2023 - Elsevier
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 …

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 …

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 …

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 …

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 …