Abstract
The work in this paper is based on an assumption that the fatigue accumulated by a component is not
determined by the stress amplitude alone, but also requires information about the sequence in which the
loading occurs.
This paper will use clustering methods and artificial neural networks to investigate and identify these
events.
determined by the stress amplitude alone, but also requires information about the sequence in which the
loading occurs.
This paper will use clustering methods and artificial neural networks to investigate and identify these
events.
| Bidragets oversatte titel | Artificial Intelligence-Based Approach for Damage Estimation of Power IGBTs from Real Mission Profiles: Artificial Intelligence-Based Approach for Damage Estimation of Power IGBTs from Real Mission Profiles |
|---|---|
| Originalsprog | Engelsk |
| Titel | PCIM Europe digital days 2020 : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management |
| Antal sider | 5 |
| Forlag | VDE Verlag GMBH |
| Publikationsdato | jul. 2020 |
| Sider | 985-989 |
| ISBN (Trykt) | 978-3-8007-5245-4 |
| Status | Udgivet - jul. 2020 |
| Begivenhed | PCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management - , Tyskland Varighed: 7 jul. 2020 → 8 jul. 2020 |
Konference
| Konference | PCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management |
|---|---|
| Land/Område | Tyskland |
| Periode | 07/07/2020 → 08/07/2020 |
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