We built a free machine learning library for electromagnetic interference

Is your complex device electromagnetically compatible? Use machine learning to find out! Prof. Jan Hansen and Julian Tischler show you how to do it. Learning outcomes: After watching the video, learners can explain how machine learning is used in EMI filter design. After completing the exercise, learners can apply basic machine learning to EMI filter design using the Surrogate model. Our free Python library: https://pypi.org/project/IFE-Surrogate/ Literature:: Rezende, R. S., Hansen, J., Piwonski, A., & Schuhmann, R. (2024). Wideband kriging for multiobjective optimization of a high-voltage EMI filter. IEEE Transactions on Electromagnetic Compatibility, 66(4), 1116-1124. https://ieeexplore.ieee.org/document/... Chapters: 0:00 - EMI filter example 0:42 - Simple low pass filter 1:59 - More complex filter 2:57 - Sampling schemes 4:26 - Spatial correlation 6:05 - Application to EMI filters 7:49 - Using the Surrogate Python package 11:00 - Try it yourself! This learning video is part of the upcoming course "Basics of EMC" which the Institute of Electronics is producing with the @AustrianChipsCompetenceCenter https://atc3.at/ See already now our existing online course on electromagnetic compatibility on @imooxat : https://imoox.at/course/EMC1 This work is licensed under CC BY 4.0 (https://creativecommons.org/licenses/.... Institute of Electronics: https://www.ife.tugraz.at https://www.tugraz.at