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Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification

Reliability EngineeringEngineeringData ScienceAerospace EngineeringUncertainty QuantificationUncertainty ModelingLife PredictionPredictive MaintenanceBusinessSystems EngineeringModeling And SimulationIntelligent SystemsLithium-polymer BatteriesUnmanned Aerial SystemsService Life PredictionFailure PredictionUnmanned Aerial Vehicles