Prediction of fuel cell performance degradation using a combined approach of machine learning and impedance spectroscopy
Zewei Lyu, Yige Wang, Anna Ściążko, Hangyue Li, Yosuke Komatsu, Zaihong Sun, Kaihua Sun, Naoki Shikazono, Minfang Han
Topics & Concepts
Dielectric spectroscopyDegradation (telecommunications)Computer scienceExpeditingArtificial intelligenceArtificial neural networkMachine learningTerm (time)EngineeringElectrochemistryChemistryTelecommunicationsSystems engineeringElectrodePhysicsPhysical chemistryQuantum mechanicsAdvancements in Solid Oxide Fuel CellsFuel Cells and Related MaterialsElectrocatalysts for Energy Conversion