A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism. [PDF]
Wang F, Liu A, Qu C, Xiong R, Chen L.
europepmc +1 more source
El objetivo que este proyecto persigue es el de mostrar el diseño de un turbofan en todo su conjunto. Debido a que este proceso de diseño es muy complejo y normalmente se necesitan grandes grupos de ingenieros para su desarrollo, el alcance del mismo dentro de un proyecto final de carrera queda muy limitado.
openaire +1 more source
An AM-CNN-BiGRU network with spatiotemporal feature fusion for industrial robot predictive maintenance. [PDF]
Zang Z +7 more
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Virus-laden droplet nuclei in vortical structures associated with recirculation zones in indoor environments: A possible airborne transmission of SARS-CoV-2. [PDF]
Martínez-Espinosa E +1 more
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Efficient Channel Attention-Gated Graph Transformer for Aero-Engine Remaining Useful Life Prediction. [PDF]
Chen C +7 more
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Large-Scale Simulation of Full Three-Dimensional Flow and Combustion of an Aero-Turbofan Engine on Sunway TaihuLight Supercomputer. [PDF]
Xu Q +6 more
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Enhanced Mamba model with multi-head attention mechanism and learnable scaling parameters for remaining useful life prediction. [PDF]
Liu F, Liu S, Chai Y, Zhu Y.
europepmc +1 more source
Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning. [PDF]
Wang B +5 more
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Predictive maintenance programs for aircraft engines based on remaining useful life prediction. [PDF]
Xue F, Jin G, Tan L, Zhang C, Yu Y.
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