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

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

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Abstrakt

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.
Bidragets oversatte titelArtificial 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
OriginalsprogEngelsk
TitelPCIM Europe digital days 2020 : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Antal sider5
ForlagVDE VERLAG
Publikationsdato7 jul. 2020
Sider985-989
ISBN (Trykt)978-3-8007-5245-4
StatusUdgivet - 7 jul. 2020

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