A unified framework for enhancing inverse finite element method through strain pre-extrapolation and sensor placement optimization

•A novel framework is developed to enhance iFEM accuracy and robustness with limited sensors.•A new strain pre-extrapolation technique, GPR-MCKF, is proposed, accounting for spatio-temporal correlation in measurements.•The FIM of extrapolated strain is derived as an objective function, linking GPR-M...

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Vydáno v:	Mechanical systems and signal processing Ročník 234; s. 112836
Hlavní autoři:	Li, Kelu, Xiao, Longfei, Wei, Handi, Kou, Yufeng, Shan, Meng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.07.2025
Témata:	Fisher information Gaussian process regression iFEM Maximum correntropy Kalman filter Sensor placement optimization Strain pre-extrapolation Gaussian process regression iFEM Maximum correntropy Kalman filter Sensor placement optimization Strain pre-extrapolation Fisher information
ISSN:	0888-3270
On-line přístup:	Získat plný text
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