Multi-State-Space Modeling for Magnetic Core Loss Prediction Using Empirical Approach
收藏DataCite Commons2025-03-02 更新2025-04-16 收录
下载链接：
https://ieee-dataport.org/documents/multi-state-space-modeling-magnetic-core-loss-prediction-using-empirical-approach
下载链接
链接失效反馈官方服务：
资源简介：
MagNet is a large-scale dataset designed to enable researchers modeling magnetic core loss using machine learning to accelerate the design process of power electronics. The dataset contains a large amount of voltage and current data of different magnetic components with different shapes of waveforms and different properties measured in the real world. Researchers may use these data as pairs of excitations and responses to build up dynamic magnetic models or calculate the core loss to derive static models.
提供机构：
IEEE DataPort
创建时间：
2025-03-02
