Failure analysis and lifetime assessment of IGBT power modules at low temperature stress cycles

Author:

Hernes Magnar1,D'Arco Salvatore1,Antonopoulos Antonios2,Peftitsis Dimosthenis3

Affiliation:

1. SINTEF Energi AS Trondheim Norway

2. School of Electrical and Computer Engineering National Technical University of Athens Iroon Polytechniou 9 Zografou Greece

3. Department of Electric Power Engineering Norwegian University of Science and Technology NTNU O.S. Bragstadsplass 2E Trondheim Norway

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference44 articles.

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2. Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review;IEEE Transactions on Power Electronics;2024-02

3. IoT-Based IGBT Power Module Health Monitoring System With RUL Estimation for Electric Drive Applications;IEEE Access;2024

4. A Probabilistic Bayesian Machine Learning Framework for Comprehensive Characterization of Bond Wires in IGBT Modules Under Thermomechanical Loadings;Journal of Electronic Materials;2023-12-21

5. Junction Temperature Prediction: A Multi-Featured Dataset Approach;2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP);2023-11-26

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