Articles | Volume 21
https://doi.org/10.5194/ars-21-37-2023
https://doi.org/10.5194/ars-21-37-2023
01 Dec 2023
 | 01 Dec 2023

Anomaly Detection with Decision Trees for AI Assisted Evaluation of Signal Integrity on PCB Transmission Lines

Emre Ecik, Werner John, Julian Withöft, and Jürgen Götze

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AI Models for Supporting SI Analysis on PCB Net Structures: Comparing Linear and Non-Linear Data Sources
Julian Withöft, Werner John, Emre Ecik, Ralf Brüning, and Jürgen Götze
Adv. Radio Sci., 21, 77–87, https://doi.org/10.5194/ars-21-77-2023,https://doi.org/10.5194/ars-21-77-2023, 2023
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Cited articles

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Ecik, E., John, W., Withöft, J., Brüning, R., and Götze, J.: Signal Integrity Design of PCB Transmission Paths using a Decision Tree Approach, 2023 International Symposium on Electromagnetic Compatibility – EMC Europe, Krakow, Poland, 1–6, https://doi.org/10.1109/EMCEurope57790.2023.10274174, 2023. a
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Short summary
The implementation of an anomaly detection with a decision tree was investigated with respect to the evaluation of selected SI effects in PCB design. The tree based approach allows the designer to understand the proposals more easily (explainable AI). High prediction accuracies for two simple networks were achieved with the proposed method. The use of anomaly detection with a decision tree will be further developed in future work for various more complex SI applications in circuit design.