Uncertain dynamics characteristic forecasting in composite plates with multi-defects of electric aircraft via physics-augmented meta-learning

•A physics-enhanced Meta-learning Framework is proposed to predict dynamic characteristics of composite plate with defects.•Attention meta-learning mechanism is used for cross task meta knowledge weighted extraction.•The effectiveness of the PMF has been verified through comparison with physics-data...

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Vydané v:	Aerospace science and technology Ročník 164; s. 110363
Hlavní autori:	Xu, Duo, Zang, Jian, Song, Xu-Yuan, Zhang, Zhen, Zhang, Ye-Wei, Chen, Li-Qun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Masson SAS 01.09.2025
Predmet:	Composite plates with defects Deep Learning Dynamics Analysis Few-shot Physics-enhanced meta-learning framework (PMF) Composite plates with defects Physics-enhanced meta-learning framework (PMF) Deep Learning Few-shot Dynamics Analysis
ISSN:	1270-9638
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