Remaining Useful Life (RUL) Prognosis of Composite materials
Report showing the approaches for Remaining Useful Life RUL Prognosis of Composite ...
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Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model. [PDF]
Sci RepKong Z, Li S, Wang C.
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AI-driven lithium-ion battery health prediction: a review of SOC, SOH and RUL estimation techniques. [PDF]
Front Artif IntellTamizharasi G, Rajini GK.
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Sensor-Based Channel-Wise Remaining Useful Life Estimation and Multi-Threshold Maintenance Policy for Steel-Cord Conveyor Belts. [PDF]
Sensors (Basel)Błażej R, Jurdziak L, Rzeszowska A.
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Risk-Aware Predictive Maintenance for Aero-Engines via CVaR-Guided Reinforcement Learning and LLM-Based Risk Abstraction. [PDF]
Sensors (Basel)Song B, Guo Y, Yu Z, Ni Y, Wu W.
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Mechanism-Informed Health Representation and Causal Stage-Aware Remaining Useful Life Prediction for Rolling Bearings. [PDF]
Sensors (Basel)Tian X, Yin H, Chen S, Dong Z, Xu H.
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A cross-domain deep learning framework for remaining useful life prediction in industrial applications. [PDF]
PLoS OneSaha S +4 more
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MBQG-Net: A Multi-Scale Bidirectional Query-Guided Gated Network for Aero-Engine Remaining Useful Life Prediction. [PDF]
Entropy (Basel)Hu X, Qi H, Yu J, Lu C, Zhang L.
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Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]
Sci RepAli B +6 more
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An integrated Gaussian-Probabilistic-Fuzzy framework for health assessment and remaining useful life prediction of medium-voltage switchgears. [PDF]
PLoS OneAranizadeh A, Vahidi B, Khorsandi A.
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