E. Pan

A Dual-Track LLM Framework for Traceable Supplier Delivery Risk Analysis in Electric Vehicle Supply Chains

Supplier delivery instability can disrupt production continuity and increase inventory and coordination pressure. This study proposes a dual-track framework for supplier delivery reliability risk analysis under private, temporally sparse, small-sample enterprise data. A replaceable structured track produces on-time del...

Fault Detection for Steam Turbines Based on Non-Stationary and Autocorrelated Multivariate Time Series with Non-Gaussian Noise

In recent years, fault detection for steam turbines based on condition-monitoring data has gained significant attention. However, the resulting data often exhibit non-stationarity, autocorrelation, and non-Gaussian noise, posing significant challenges for conventional monitoring methods. To address these issues simulta...

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

ABSTRACT Accurate forecasting of battery capacity fade is essential for the safety, reliability, and long‐term efficiency of energy storage systems. However, the heterogeneity across cell chemistries, form factors, and operating conditions makes it difficult to build a single model that generalizes beyond its training...

A deep reinforcement learning method based on scale perception and heterogeneous graph neural network for flexible job shop scheduling