Artificial Intelligence-Based Approach for Damage Estimation of Power IGBTs from Real Mission Profiles

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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.
Translated title of the contributionArtificial 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 languageEnglish
Title of host publicationPCIM Europe digital days 2020 : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
Number of pages5
PublisherVDE VERLAG
Publication dateJul 2020
Pages985-989
ISBN (Print)978-3-8007-5245-4
Publication statusPublished - Jul 2020
EventPCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management - , Germany
Duration: 7 Jul 20208 Jul 2020

Conference

ConferencePCIM Europe digital days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
CountryGermany
Period07/07/202008/07/2020

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