Neural Network Model for Magnetization Characteristics of Ferromagnetic Materials

The magnetic characteristics of silicon steel sheet 30Q120 under different AC frequencies were measured by an Epstein frame in order to analyze the effects frequency variation on hysteresis loop ferromagnetic materials and compare differences such at frequencies. First, forecasting method properties influence using neural network was proposed based experimental data. Hysteresis loops obtained. Then, obtained results compared with results. Second, dynamic Jiles-Atherton model established theory, accuracies verified comparing simulation Upon models, show that latter has better accuracy. Furthermore, correctness effectiveness are verified.