An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms
S. Quondam Antonio, Francesco Riganti Fulginei, Antonino Laudani, Antonio Faba, E. Cardelli
Topics & Concepts
Preisach model of hysteresisArtificial neural networkHysteresisWaveformMagnetic hysteresisElectrical steelComputer sciencePulse-width modulationSet (abstract data type)AlgorithmControl theory (sociology)Topology (electrical circuits)PhysicsMagnetizationVoltageMaterials scienceArtificial intelligenceMagnetic fieldMathematicsCondensed matter physicsComposite materialQuantum mechanicsProgramming languageRadarControl (management)TelecommunicationsCombinatoricsMagnetic Properties and ApplicationsNon-Destructive Testing TechniquesElectric Motor Design and Analysis