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Long Horizon Transformer Quantile Fault Prediction for Multi Site Industrial Pre

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1 SIGNALFIRST DETECTED 7 September 2026
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31 Aug
A Deep Learning-Based Stacking Ensemble Framework for Turbofan Engine Remaining Useful Life Prediction

arXiv:2608.27940v1 Announce Type: new Abstract: This study proposes a two-level stacking ensemble framework for Remaining Useful Life (RUL) prediction of turbofan engines,

REPORT · HOW · ArXiv CS.AIOPEN STORY
26 Mar
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life

arXiv:2603.22323v1 Announce Type: cross Abstract: Accurately predicting the state-of-health (SOH) and remaining useful life (RUL) of lithium-ion batteries is crucial for ensuring

REPORT · WHAT · ArXiv CS.AIOPEN STORY
18 Aug
Cross-Domain Industrial Fault Detection by Causal Mechanism Monitoring

arXiv:2608.14666v1 Announce Type: new Abstract: Unsupervised fault detection in industrial systems is dominated by reconstruction based methods that monitor individual sensor

REPORT · WHERE · ArXiv CS.AIOPEN STORY
23 Apr
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis

arXiv:2604.18765v1 Announce Type: cross Abstract: Fault detection and diagnosis are critical for the optimal and safe operation of industrial processes. The correlations among

REPORT · WHERE · ArXiv CS.AIOPEN STORY
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