Fangyu Li

A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling

2025 · IEEE Transactions on Automation Science and Engineering

Multiple sensors are widely used in the monitoring of the degradation process and prediction of the remaining useful lifetime (RUL) of units in complex engineering systems. However, ensuring the prognostic performance with only a few …

DRE-xLSTM: Distributed Reversible Embedding Extended Long Short-Term Memory (xLSTM) for Complex Industrial Data Imputation

2024

The large amount of sensor data poses a challenge for imputation in complex industrial processes. The prominent method of xLSTM can achieve highly accurate data imputation in time series, however, xLSTM is incapable of distributed …

Graph-Augmented Deep Reinforcement Learning for Key Feature Extraction in FJSP

2025

The Flexible Job Shop Scheduling Problem (FJSP) represents a significant optimization challenge in modern manufacturing, requiring efficient job allocation and machine selection under complex constraints. Traditional methods struggle to handle high-dimensional state spaces and identify …