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.

铁磁材料的滞后特性对于电气设备的运行至关重要。为了模拟在混合复杂激励条件下定向硅钢片滞后回线的特性，我们通过实验平台构建了相应的滞后特性数据集，包含514对滞后回线数据。该数据集以磁感应强度和前一时刻的磁场强度等六个特征作为输入。按照既定比例，该数据集被划分为训练集和测试集。本数据集旨在便利基于深度学习的滞后模型的训练与评估。