Tutorial: Artificial Intelligence-assisted Applications in Power Electronics

Relateret indhold

• Forskningsdatasæt

• Component database for topology benchmarking with guidelines of how to use it

  Datasæt

• capCNN dataset: capacitor C and ESR condition monitoring dataset using convolution neural network

  Datasæt

• POWER CYCLING TEST DATASET (GEOL: A GRADIENT-BASED END-OF-LIFE CRITERION FOR POWER SEMICONDUCTOR MODULES)

  Datasæt

• Publikationer

• A Sparsity-Promoting Time Domain Evaluation Method for Thermal Transient Measurement of Power Semiconductors

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

• Parameter Estimation of Power Electronic Converters with Physics-Informed Machine Learning

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

• Artificial Intelligence-Aided Thermal Model Considering Cross-Coupling Effects

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

• An overview of artificial intelligence applications for power electronics

  Publikation: Bidrag til tidsskrift › Review (oversigtsartikel) › peer review

• Physics-informed Machine Learning for Parameter Estimation of DC-DC Converter

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

• Artificial intelligence–assisted data-driven control of power electronics systems

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

• Rethinking Model-based Fault Detection: Uncertainties, Risks, and Optimization based on a Multilevel Converter Case Study

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

• Projekter

• Artificial Intelligence for Next-Generation Power Electronics

  Projekter: Projekt › Forskning