3 papers
cs.LG2026
Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics
Yuhan Hu, Xiaolei Fang
Federated prognostics enable clients (e.g., companies, factories, and production lines) to collaboratively develop a failure time prediction model while keeping each client's data…
cs.LG2026
A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions
Yuqi Su, Xiaolei Fang
Complex systems such as aircraft engines, turbines, and industrial machinery often operate under dynamically changing conditions. These varying operating conditions can substantial…
cs.LG2025
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Yuqi Su, Xiaolei Fang
Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing progno…