Hysteresis Characterization Dataset

 The hysteresis characteristics of ferromagnetic materials are crucial for the operation of electrical equipment. To simulate the hysteresis return line of oriented silicon steel sheets under mixed complex excitation conditions, we construct the corresponding dataset of hysteresis characteristics through an experimental platform, comprising 514 pairs of hysteresis return line data. Six features, such as the magnetic induction strength and magnetic field strength from the previous moment, serve as inputs to the dataset. The dataset is divided into training and test sets in accordance with a specified ratio. This dataset is intended to facilitate the training and evaluation of deep learning-based hysteresis models.