Publication | Open Access

Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load

Time-frequency AnalysisEngineeringMachine LearningData SciencePredictive AnalyticsPredictive MaintenanceFault ForecastingSystems EngineeringDynamic LoadForecastingData-driven PrognosticsEnergy PredictionRecurrent Neural NetworkNonlinear Time Series