Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Federated transfer learning for bearing fault diagnosis with discrepancy-based weighted federated averaging
Generally, high performance of deep learning (DL)-based machinery fault diagnosis
methods relies on abundant labeled fault samples under various working conditions, while …
methods relies on abundant labeled fault samples under various working conditions, while …
Artificial intelligence and edge computing for machine maintenance-review
Industrial internet of things (IIoT) has ushered us into a world where most machine parts are
now embedded with sensors that collect data. This huge data reservoir has enhanced data …
now embedded with sensors that collect data. This huge data reservoir has enhanced data …
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 …
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy
Abstract Domain generalization (DG) methods have been successfully proposed to enhance
the generalization ability of the intelligent diagnosis model. However, these methods hardly …
the generalization ability of the intelligent diagnosis model. However, these methods hardly …
An efficient federated transfer learning framework for collaborative monitoring of wind turbines in IoE-enabled wind farms
Wind turbine (WT) condition monitoring has gained increasing interests in the era of the
Internet of Energy (IoE), and existing monitoring approaches mainly focus on training a …
Internet of Energy (IoE), and existing monitoring approaches mainly focus on training a …
FedLED: Label-free equipment fault diagnosis with vertical federated transfer learning
Intelligent equipment fault diagnosis based on federated transfer learning (FTL) attracts
considerable attention from both academia and industry. It allows real-world industrial …
considerable attention from both academia and industry. It allows real-world industrial …
Intelligent fault diagnosis via ring-based decentralized federated transfer learning
Federated transfer learning (FTL) can effectively address the data silos and domain shift that
exist in data-driven rotating machinery fault diagnosis (RMFD). However, in FTL used for …
exist in data-driven rotating machinery fault diagnosis (RMFD). However, in FTL used for …
[HTML][HTML] 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 domain generalization for intelligent fault diagnosis based on pseudo-siamese network and robust global model aggregation
Federated learning (FL) based intelligent fault diagnosis has developed rapidly in recent
years owing to the need for data privacy. However, models trained using FL may suffer from …
years owing to the need for data privacy. However, models trained using FL may suffer from …
Remaining useful life prediction of machinery using federated public feature representation in edge-cloud collaboration architecture
L Chen, H Gao, L Guo, J Liang, L Peng - Engineering Applications of …, 2025 - Elsevier
Significant progress has been made in the prediction methods of the remaining useful life
(RUL) of machinery. Nevertheless, two major challenges still exist for the large-scale …
(RUL) of machinery. Nevertheless, two major challenges still exist for the large-scale …