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.· Measurement science and tech...· 0 citations
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...
Yu-Jie Wei, Zhen Chen, E. Pan· 2026 8th International Confe...· 0 citations
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.· Advancement of science· 0 citations
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