Large-Scale H2 Optimization for Thermo-Mechanical Reliability of Electronics

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


Optimization of transient models is required in several domains related to thermo-mechanical reliability of electronics, such as Prognostic Health Monitoring (PHM) and design optimization. A novel framework for efficient (local) parameter optimization of transient models in the H2 norm is proposed. The optimization is feasible for large-scale transient models because it approximates the gradient using physics-based model order reduction (MOR), in contrast to existing approaches that typically use data-driven surrogate models such as neural networks. To demonstrate the framework an optimal fixed-order virtual sensor for PHM of a Ball Grid Array (BGA) is numerically determined.

Originele taal-2Engels
TitelScientific Computing in Electrical Engineering
SubtitelSCEE 2022, Amsterdam, The Netherlands, July 2022
RedacteurenMartijn van Beurden, Neil V. Budko, Gabriela Ciuprina, Wil Schilders, Harshit Bansal, Ruxandra Barbulescu
Plaats van productieCham
Aantal pagina's8
ISBN van elektronische versie978-3-031-54517-7
ISBN van geprinte versie978-3-031-54516-0
StatusGepubliceerd - 1 mrt. 2024
EvenementScientific Computing in Electrical Engineering, SCEE 2022 - Amsterdam, Nederland
Duur: 11 jul. 202214 jul. 2022

Publicatie series

NaamMathematics in Industry
ISSN van geprinte versie1612-3956
ISSN van elektronische versie2198-3283


CongresScientific Computing in Electrical Engineering, SCEE 2022
Verkorte titelSCEE 2022
Internet adres


Duik in de onderzoeksthema's van 'Large-Scale H2 Optimization for Thermo-Mechanical Reliability of Electronics'. Samen vormen ze een unieke vingerafdruk.

Citeer dit