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.
| Translated title of the contribution | 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 |
|---|---|
| Original language | English |
| Title of host publication | PCIM Europe digital days 2020 : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management |
| Number of pages | 5 |
| Publisher | VDE Verlag GMBH |
| Publication date | Jul 2020 |
| Pages | 985-989 |
| ISBN (Print) | 978-3-8007-5245-4 |
| Publication status | Published - Jul 2020 |
| Event | PCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management - , Germany Duration: 7 Jul 2020 → 8 Jul 2020 |
Conference
| Conference | PCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management |
|---|---|
| Country/Territory | Germany |
| Period | 07/07/2020 → 08/07/2020 |
