3 papers
eess.SP2025
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction
Yan Chen, Cheng Liu
Accurate prediction of Remaining Useful Life (RUL) for complex industrial machinery is critical for the reliability and maintenance of mechatronic systems, but it is challenged by…
eess.SY2025
Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance
Yan Chen, Cheng Liu
Existing predictive maintenance (PdM) methods typically focus solely on whether to replace system components without considering the costs incurred by inspection. However, a well-c…
cs.LG2024
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
Yan Chen, Cheng Liu
Remaining useful life (RUL) prediction is crucial for maintaining modern industrial systems, where equipment reliability and operational safety are paramount. Traditional methods,…