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