Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis: Reproducibility Dataset

Paper

This package contains the datasets used in the following paper:

Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis

Thomas Guillod, Jenna S. Lee, Haoran Li, Shukai Wang, Minjie Chen, and Charles R. Sullivan

https://doi.org/10.1109/APEC43580.2023.10131348

IEEE APEC 2023, Orlando, Florida, USA

Datasets

The EPCOS TDK N87 datasets used in this paper are part of the MagNet initiative (https://mag-net.princeton.edu). MagNet is an openly available large-scale dataset including measurements of several core materials under various operating conditions. MagNet is a joint project between Princeton University, Dartmouth College, and Plexim GmbH.

This package includes the two datasets used in the paper:

"N87_ambient_temperature" - Loss dataset for EPCOS TDK N87 at ambient temperature (measured on a R22.1X13.7X7.9, 2022-02-01).

"N87_variable_temperature" - Loss dataset for EPCOS TDK N87 at different temperatures (measured on a R34.0X20.5X12.5, 2022-07-14).

It should be noted that the datasets contains more measurements than used in the paper:

The measurements where the iGCC can be evaluated without extrapolation are used in the paper.

The measurements where the iGCC require an extrapolation of the loss data are not used in the paper.

A flag in the dataset indicates in which category a measurement belongs.

More details about the measurement setup can be found on the MagNet website (https://mag-net.princeton.edu).

More details about the iGCC method can be found on GitHub (https://github.com/otvam/magnet_webinar_eqn_models).

File Formats

The datasets are available in three different formats:

CSV (text files).

MATLAB tables (MAT v7.3 binary files, exported with MATLAB 2021a).

Pandas dataframes (HDF5 binary files, exported with Python 3.10.6 and Pandas 1.3.5).

The file "dataset_metadata.csv" contains the description of the different variables.The file "test_matlab.m" is a MATLAB test file for loading the MATLAB tables.The file "test_python.py" is a Python test file for loading the Pandas dataframes.