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Modelling the fatigue damage in power components using machine learning technology (2025)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.pedc.2025.100079

Publication URI: http://dx.doi.org/10.1016/j.pedc.2025.100079

Type: Journal Article/Review

Parent Publication: Power Electronic Devices and Components