Privacy-enhanced momentum federated learning via differential privacy and chaotic system in industrial cyber–physical systems
Z Zhang, L Zhang, Q Li, K Wang, N He, T Gao - ISA transactions, 2022 - Elsevier
Abstract By leveraging Industrial Cyber–Physical Systems (ICPSs), deep learning-based
methods are applied to address various industrial issues. Due to privacy policy reasons …
methods are applied to address various industrial issues. Due to privacy policy reasons …
Clustering federated learning for bearing fault diagnosis in aerospace applications with a self-attention mechanism
Bearings, as the key mechanical components of rotary machinery, are widely used in
modern aerospace equipment, such as helicopters and aero-engines. Intelligent fault …
modern aerospace equipment, such as helicopters and aero-engines. Intelligent fault …
Federated learning for intelligent fault diagnosis based on similarity collaboration
Y Zhang, X Xue, X Zhao, L Wang - Measurement Science and …, 2023 - iopscience.iop.org
In recent years, federated learning has received much attention because it involves the
collaboration of each client to train a strong model without infringing data privacy. Machinery …
collaboration of each client to train a strong model without infringing data privacy. Machinery …
Federated learning for condition monitoring of industrial processes: a review on fault diagnosis methods, challenges, and prospects
Condition monitoring (CM) of industrial processes is essential for reducing downtime and
increasing productivity through accurate Condition-Based Maintenance (CBM) scheduling …
increasing productivity through accurate Condition-Based Maintenance (CBM) scheduling …
[HTML][HTML] Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …
has seen accelerated growth since the beginning of the 21st century. Successful AI …
Blockchain and multi-agent system for meme discovery and prediction in social network
F Yang, Y Qiao, S Wang, C Huang, X Wang - Knowledge-Based Systems, 2021 - Elsevier
Memes are the thoughts, behaviors, or styles spread among people in the same cultural
atmosphere, which keeps changing in semantics and emotion during the interaction with …
atmosphere, which keeps changing in semantics and emotion during the interaction with …
A data privacy protection diagnosis framework for multiple machines vibration signals based on a swarm learning algorithm
Bearing fault diagnosis is essential for monitoring rotating machinery and equipment
operating conditions. They can also identify safety hazards and avoid economic losses …
operating conditions. They can also identify safety hazards and avoid economic losses …
Personalized driving assistance algorithms: Case study of federated learning based forward collision warning
Current designs of advanced driving assistance systems (ADAS) mainly developed uniform
collision warning algorithms, which ignore the heterogeneity of driving behaviors, thus lead …
collision warning algorithms, which ignore the heterogeneity of driving behaviors, thus lead …
Federated learning for bearing fault diagnosis with dynamic weighted averaging
Data-driven methods for machinery fault diagnosis have been widely investigated and
developed in recent years. Generally, the performance of the data-driven-based diagnosis …
developed in recent years. Generally, the performance of the data-driven-based diagnosis …
Transfer learning for CNN‐based damage detection in civil structures with insufficient data
M Chamangard, G Ghodrati Amiri… - Shock and …, 2022 - Wiley Online Library
Among various methods proposed for health monitoring of structures, deep learning‐based
techniques with their powerful performance have attracted considerable attention in recent …
techniques with their powerful performance have attracted considerable attention in recent …