A comprehensive examination of load balancing algorithms in cloud environments: a systematic literature review, comparative analysis, taxonomy, open challenges …

FS Prity, MM Hossain - Iran Journal of Computer Science, 2024 - Springer
Cloud computing is a robust paradigm that empowers users and organizations to procure
services tailored to their needs. This model encompasses many offerings, including storage …

Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network

X Zheng, L Chen, C Yu, Z Lei, Z Feng, Z Wei - Sensors, 2023 - mdpi.com
The application of edge computing combined with the Internet of Things (edge-IoT) has
been rapidly developed. It is of great significance to develop a lightweight network for …

Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm

PN Thanh, MY Cho - Advanced Engineering Informatics, 2024 - Elsevier
Health diagnosis for rotating machines significantly contributes to improving safety and
reliability. This research studies an AIOT system for anomaly prognosis for diesel generators …

Optimization of Deep Belief Network Based on Sparrow Search Algorithm for Rolling Bearing Fault Diagnosis

D Xu, C Li - IEEE Access, 2024 - ieeexplore.ieee.org
This study addresses the randomness of training parameters in the Deep Belief Network
(DBN) and proposes an optimization method for rolling bearing fault diagnosis based on the …

An Integrated Bearing Fault Diagnosis Method Based on Multibranch SKNet and Enhanced Inception‐ResNet‐v2

B Hu, J Liu, Y Xu, T Huo - Shock and Vibration, 2024 - Wiley Online Library
Deep learning has recently received extensive attention in the field of rolling‐bearing fault
diagnosis owing to its powerful feature expression capability. With the help of deep learning …

Integration of cloud, iot, and ai for smart services

A Behura, A Singh, S Nayak - Fostering Cross-Industry Sustainability …, 2024 - igi-global.com
This chapter focused on providing the latest knowledge about IoT with prominence on
application issues, intelligent sensors, enabling technologies, communication technology …

Analysis of hot spots and trends in rolling bearing fault diagnosis research based on scientific knowledge mapping

B Chen, Y Zhao, Y Zhang, Y Jiang… - Engineering …, 2024 - iopscience.iop.org
As a key component of mechanical equipment, real-time monitoring and diagnosis of rolling
bearings play a critical role in ensuring the stable operation of equipment and the safety of …

A new dual-channel convolutional neural network and its application in rolling bearing fault diagnosis

B Hu, J Liu, R Zhao, Y Xu, T Huo - Measurement Science and …, 2024 - iopscience.iop.org
Recently, deep learning has received widespread attention in the field of bearing fault
diagnosis due to its powerful feature learning capability. However, when the actual working …

A novel bearing current signal diagnosis method combining variational modal decomposition and improved random forests

H Zhang, Y Zheng, J Lu - Review of Scientific Instruments, 2024 - pubs.aip.org
A new fault diagnosis approach based on bearing current signals is proposed in this paper.
First, in view of strong background noise of the current signal, the variational modal …

Role of machine learning approach for industrial internet of things (IIoT) in cloud environment-a systematic review

N Hasan, M Alam - International Journal of Advanced …, 2023 - search.proquest.com
The industrial internet of things (IIoT) is related to the fourth industrial revolution and
includes different applications and innovations for the conduction of industrial activities. The …