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Open access Aug 2026

Dual-branch remaining useful life prediction based on local pattern learning and functional trajectory reconstruction

Remaining useful life (RUL) prediction is a core task in prognostics and health management because it supports maintenance scheduling and downtime reduction. Deep learning methods have improved temporal representation for RUL prediction, but degradation information extracted from fixed-length recent monitoring windows...

Xin Cheng, Tangbin Xia, Wenqing Ma et al. · 0 citations
Open access Aug 2026

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...

Joey Chan, Huan Wang, Zhen Chen et al. · 0 citations

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