Spatial resolution is a crucial indicator for measuring the quality of hyperspectral imaging
(HSI) and obtaining high-resolution (HR) hyperspectral images without any auxiliary …

The current prognostics approaches for a network of assets are centralized and reliant on
the availability of assets' sensors, failures, and anomaly data. To address this, the data from …

Aero-engine is one of the core components of aircraft. The accurate prediction of areo-
engine Remaining Useful Life (RUL) is of great significance for ensuring the operation safety …

Abstract Improving Remaining Useful Life (RUL) prediction accuracy in Prognostic and
Health Management (PHM) is the primary pursuit of researchers. Deep learning provides …

Long sequence information remains a challenging problem in deep learning nowadays for
predicting remaining useful life (RUL). In this work, we propose a novel deep learning …

Due to the increase in the series-parallel multi-state system (MSS) complexity caused by the
nonlinear change of parameters, the traditional model-based maintenance methods are …

Deep-learning (DL)-based remaining useful life (RUL) prognostics have achieved prominent
advancements to maintain the reliability and safety of industrial equipment. The run-to …

Data-driven methods routinely achieve promising results on remaining useful life prediction,
but under a window-manner end-to-end paradigm, they suffer from unsatisfying …

The remaining useful life prediction is significant for Lithium-ion batteries to ensure safety
and reliability. Due to the advantages of handling time sequence data, recurrent neural …

Abstract Remaining Useful Life (RUL) prediction is of great significance for maintaining the
reliability and safety of industrial equipment. To address the challenges faced by existing …